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From Reactive to Proactive Maintenance with a MAS Upgrade
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0:05
Good morning, Good afternoon.
0:06
My name is Elke Hellberg.
0:08
I am part of the Cohesive marketing team.
0:10
I will be assisting the team today with the webinar as moderator.
0:13
We will give it another 30 to 60 seconds to allow all the attendees to join us today.
0:52
Great, I think we can start.
0:54
Hi everyone and welcome to our webinar on journey from reactive to proactive maintenance.
0:59
Increasing reliability with the right tools and work processes where we will give you an actionable road map and checkpoints to gain the momentum and change step change needed to maximise reliability.
1:11
In this webinar you will learn why most businesses get stuck on their maintenance and reliability maturity curve and how to overcome it.
1:19
A road map to make a change in the maintenance and reliability model, how to leverage mass for increase reliability and optimise return on investment from the tool as well as the what value improving maintenance and reliability maturity will bring to your organisation.
1:35
Before we start, I would just like to highlight some administrative tasks.
1:40
Note that this webinar will be recorded and distributed post webinar.
1:44
All the attendees are currently set to listen only mode, but feel free to post any questions or comments in the chat or question box.
1:51
We will address these at the end of the webinar.
1:53
Should you have any technical questions or problems, please log it with the Go to Webinar technical team in the form of a question mark or help section on the panel itself.
2:03
Right, I will be handing over the host to the host in a bit, but let me do an introduction of our speakers and Cohesive quickly.
2:11
First, we have Kevin Sutherland.
2:13
He works with clients around asset and network performance.
2:16
Then we have Patrick Conaty, a Director of Services for our clients at Cohesive.
2:21
He's also a maximal subject matter expert and CRL.
2:26
And lastly, we have Daniel Grimaldo, a Senior Maintenance and Reliability Consultant at Cohesive.
2:33
Working across all stages of the lifestyle, Cohesive helps owner operators embed digital ways of working that Dr operational efficiency and enhance asset performance.
2:43
Cohesive draws on core tech solutions to support its clients.
2:48
These solutions include Bentley's Infrastructure Cloud I twin and IBM Maxima, for which Cohesive is the largest implementer.
2:56
Without further ado, let's dive in and hand over to our first speaker for today, Kevin Sutherland.
3:06
Thanks, Elka.
3:07
I wanted to just start by talking a little bit about the the cohesive legacy and where we've kind of come from in our DNA and not only sorry should be a little bit about our cohesive legacy and what's in our OK, I'm sorry, but that that was turned off completely.
3:35
I don't know why not only do we have a tremendous amount of experience in maximum implementations around the globe, but we also our Institute of Asset Management, Institute of Asset Management attendees and members, members of the Society of Maintenance and Reliability Professionals group, including several CMRP certified maintenance and reliability professionals and part of the Reliability Web network as well with several certified reliability leaders.
4:15
And in addition to that, we've had folks sitting on the ISO 55,000 council setting those standards and, and progressing those standards throughout industry.
4:24
So it's just a quick moment of, of our our legacy and what's woven into our DNA along with Maximo because I believe this gives us a unique view on what it means.
4:36
First for Maximo customers moving to the maximum application suite and secondly, how to obtain value from that suite in a way where it's focused now partially on asset performance management and reliability improvement.
4:54
So just again, quickly, our experience and point of view comes from a heavy dose of Maximo experience, asset performance management, reliability work processes and advisory consulting.
5:08
And that that viewpoint or perspective is a little bit like this that on the left of the screen are all the traditional type things that Maximo customers performed and good on a day-to-day basis there there is now manage which is, you know, formerly Maximo mobility aspects, inventory aspects.
5:29
But if we take a look at at what the other elements included in the mass suite look like and I guess feel like, and what they're made-up of heavily, they're on the asset performance management or what we call reliability improvement element.
5:47
You know, things like monitor help predict, take a very close look at condition data, trying to understand condition super well so that we can make the best decisions we can to intervene on equipment up to predict, you know, pushing that notification of a potential failure very far back in the, in the equipment life cycle stage.
6:08
Then there's the reliability analytics element with failure mode data helping us create better strategies.
6:14
So holistically, we see this as a great opportunity moving to mass to take advantage of this entire element of the platform for reliability improvement number one.
6:25
And two, to displace other systems that our our customers might be working with.
6:30
In the past where Maximo didn't have this functionality.
6:34
Now it's all in one umbrella.
6:36
And again, we see this as a tremendous opportunity to really improve our game and maintenance and reliability maturity.
6:45
If I, if I tried to simplify heavily that that journey from proactive or excuse me, reactive type maintenance into proactive and condition based maintenance, moving towards predictive maintenance, moving towards predictive analytics, I'd like to use the PF curve.
7:04
So bear with me if you've seen this before because I just wanted to simplify the improvement elements and and make a quick point.
7:12
Of course, all definition of failure where we don't want to get is here.
7:16
That's equipment not operating potentially with secondary damage difficulty and to repair.
7:23
Sometimes I think people have studies have shown three times more expensive to repair in the stage to to a little bit better definition of failure where this is the equipment condition.
7:35
This is over time and there's a certain function we need to maintain to be able to produce or generate what product or you know electricity out the door to meet customer demand.
7:48
Technically now in this new definition, if we, if we bypass this, if we go below this required function, we may not be heart failure breakdown, but we're not delivering what we're intending to for our stakeholders.
8:04
Reliability work in the last 50-60 years has told us there is a point on this continuum on this age that that failure does start, some deterioration is starting.
8:14
It's very maybe imperceivable at the time.
8:17
And then there's a point where ah, due to predictive technologies like oil analysis, continuous monitoring, vibration analysis, motor circuitry analysis, we can, we can really see the potential for that failure and it's managing in between.
8:33
The PDF is the science of reliability improvement at its simplest.
8:40
And that the two kind of keys here is if our customers and the folks we work with work in the strategic domain, I'll call it and I'll talk more about that in a moment.
8:51
If you work on strategies, what's the right inspections and condition monitoring to do at the right time, it's going to help detect that potential for failure and he's going to push that as far to the left as possible.
9:04
What that means is it gives us a lot more time to be able to consider and plan corrective maintenance before getting to functional failure.
9:12
The second item or area is, is if we're looking closely at analytics of what condition data came in, inspection results, work order results, work order costs, problem cause, remedy coding.
9:26
We can actually eliminate a lot of the problems like bad parts from vendors, poor operational procedures, maybe other maintenance processes that aren't aren't properly happening.
9:41
And if we can eliminate those and understand condition much better, we can push that functionally failed point further to the right so, so we can make better decisions on equipment asset life cycle replacement elements.
9:55
So again, 22, if we break it into the simplest way possible, the ways we can improve, give us more time, you know, let us know earlier that there's a problem so we can address it on our own time before it impacts us into let's extend the asset life cycle of our equipment based on a clear and proper knowledge of condition.
10:17
I'd like to propose that this for a bit of a discussion model.
10:21
I'd like to call it a maintenance and reliability maturity model.
10:25
This model is 0 through 5.
10:27
And the general idea is that let's just think about this as the highest level competency or highest level consistent achievement within an organisation.
10:38
So at a zero, this is an organisation who's in business, but primarily they're, they're either unable to or just letting equipment fail and repairing it.
10:49
If we if we think back on the PF curve, we just saw those folks are living at that F mark that that far to the right costs are again quite a bit higher there than if we can handle things in a in a proactive way on on #1 plan maintenance.
11:07
And this is looking primarily at time based plan plan maintenance.
11:11
And the general idea that is, you know, yeah, it is a bit of an evolution to move to this point.
11:16
We can put a calendar time on maintenance and consistently execute those items.
11:21
But the problem is, you know, thinking back to that PF curve, we're living too far to the left.
11:26
We're probably going in doing time based overhauls and and replacements of things that probably had good life left in them.
11:37
But we didn't properly understand that life and we didn't probably understand condition.
11:41
We were simply looking at time next kind of evolution here condition based maintenance.
11:46
So the technologies that have come out in the last 30 years or so, again, oil analysis, vibration motor circuitry, infrared thermography, acoustics, thickness monitoring, tonnes of tools and approaches that are out there as well as IoT monitoring to give us a firm understanding of the condition of equipment.
12:06
But the idea here is you know that in each of these there's a bit of a continuum.
12:10
You can be from A2 maybe to a 2.9 because we, we find that customers are really getting good at this level when they can put all the condition about their equipment together in one spot and make fast accurate decisions and hopefully automate work order or service request creation directly into to manage the the 3rd element here is I call it reliability strategy driven.
12:37
That's when we're we're moving from pure condition to going back and taking a look at what are our most critical assets.
12:45
Let's use a reliability thought process approach to building a better strategy that says here's the right time to inspect and the right things to inspect or the right things to monitor based on actual failure modes.
13:00
So it really, it really evolves #2 to putting more of a failure mode approach and a failure mode of thought process on those critical assets #4 when we understand the failure modes and conditions, eventually there will be elements where we'll go in and repair.
13:17
We'll we'll always have a few breakdowns, but but when we see deterioration early, we'll be able to have the opportunity to do a corrective repair that's planned.
13:28
But hopefully we're going to go in and all those events, whether they be breakdown or plan corrective, we're going to put a problem cause remedy code on those.
13:38
Potentially we're going to look at what downtime occurred based on those to be able to put together a great form of bad actors and eliminate those bad actors one after one, you know, from the worst on down the list.
13:50
And finally, I I kind of call the cherry on top when we're able to consistently or or competently leverage things like predict statistical optimizations, simulations, etcetera.
14:06
This is this is where we're really at the at the pinnacle and we're optimising organisational financial performance, you know, based on either real events that have happened in the past or real time data.
14:20
And just a quick note, I'm not saying here that someone at level 2 can't get a data scientist get a laptop and they'll try to put together AIML models or algorithms in spot places and find some benefit.
14:34
You absolutely can.
14:36
But what I am saying is that those companies can't consistently systematically institutionalised predict at this level without really understanding the failure modes we're trying to battle and then the problems that are coming through the system.
14:52
So again, it's a bit of a discussion model and I'd like for you to think about for a moment in your organisation where you where you actually sit on that model and we have a poll question, so I'll go.
15:16
Hi Elka, If you're speaking, I think you might be on mute and I know the ball is launched.
15:21
No worries, they are.
15:23
It's all good.
15:55
Great.
16:09
So I post the poll.
16:17
Can you see the results, Kevin?
16:19
I cannot see the poll nor the results on my side.
16:28
I can read them out to you, Kevin.
16:30
So we've got the majority of the people if you can hear me going through 2 for 50% and then Level 3 about 33% and the remainder kind of in that zero to one phase, if that helps.
16:45
OK, excellent.
16:46
Yeah, I mean, that's very fair about, about what I expected.
16:50
And A, and a point I should probably make is that based on the complexity of your assets and the complexity of industries, it, it might be that, that getting to Level 3 is perfectly fine.
17:03
You know it, it may be that it's not, you know, the juice isn't worth the squeeze to go to level four or five.
17:08
But in highly competitive industries, highly regulated, highly complex oil and gas, chemicals, heavy manufacturing, definitely there's, there's, there's typically millions to be gained by making a step change from a 2.5 to a 3.5 on that, on that continuum.
17:28
So, so, so how we, we talked about the opportunity that the maximum application suite, you know, along with reliability approaches is, is providing, we talked about a model for, you know, where folks might be today and, and improvement levels kind of at a high level.
17:50
I'd, I'd like to, to talk about a little bit more deeply.
17:53
Well, how do, how do you do that?
17:54
How do you begin to take a step?
17:56
What's that journey look like?
17:58
And and this is just showing again, this is the, the Maximo we, we know and love Element or an an enterprise asset management solution where we're looking at inventory and work management, procurement.
18:11
And, and what we're doing on a day-to-day basis is our proactive condition based monitoring, our IoT monitoring.
18:19
So we so we're doing work orders and monitoring that are, that are highly inspection oriented to get data, to get results, to get condition of our equipment.
18:31
We're also fixing some things that have broken and, and proactively fixing some things that this information has told us that, you know, here we're we're yielding condition events and alarms here.
18:42
We're yielding failure dates, work order dates, downtime, potentially work order costs and, and hopefully problem cause remedy.
18:51
And then we're also on a day-to-day, there's the production or generation that that what's happening in our environment here.
18:57
This is what we're monitoring, you know, these things occurring and going on.
19:02
And it may be here that we're we're seeing opportunities for lost generation or lost production as well as downtime.
19:09
Simple idea is that this is a cycle.
19:11
We identify work, we plan, schedule, execute work, identify work, plan, schedule, execute.
19:17
So the idea here is with good practises and good leadership and good training, we can get pretty fast at identifying, plan, scheduling, executing work.
19:27
But do we really get better?
19:29
So I, I like to call this kind of, it's the efficiency effectiveness element and, and I would just pose to you that you can get pretty fast doing this process and some level of improvement.
19:41
And if you think back to the maturity model a minute ago, at one point I didn't bring out is that the first 3 levels were, were highly maintenance process related.
19:53
The the final three were reliability process related.
19:57
So so I would like to point out that there is an execution domain we just covered.
20:03
But before that, so there's and and here there's.
20:05
I'd call it two ways, 2 areas to improve, but it all fits into a continuous improvement work process.
20:15
The first thing is there's a strategic domain, I'll call it for, for simplicity.
20:20
Here we, we established drivers, measures, goals, KP is what kind of improvement do we want to make?
20:27
And and we better darn sure make sure we put the baseline of where we are today.
20:32
But the worst, the worst thing is, is having great work, great success, but we never got a baseline of where we were the last five years, three years, one year.
20:41
So we can't really prove the impact we've had.
20:44
So it's huge to put these, these right drivers baselines in place to, to monitor progress.
20:51
Second, do we have the right taxonomy hierarchy?
20:54
Do we have the right asset types and classifications to be able to write a work order at the equipment, maybe the system level?
21:02
We, we, we aren't going to be able to get better if we're only writing orders at a unit level or a large system or having better region.
21:13
You know, we, we, we really can't count costs and analyse at that point.
21:17
So with some level of competency here, everybody's got 10s of thousands of assets.
21:22
So where are we going to focus?
21:25
Here's that an asset criticality element telling us where the most critical equipment.
21:29
And I, I kind of broke that down into high, medium, low because after that there's a strategy development.
21:35
So here's here's where we get to stage 3 of that, of that maturity model where we're getting a reliability driven approach.
21:43
And notice that I have reliability centred meetings on just the highest criticality items.
21:48
I would typically reserve that to the top five to 10 most critical percent, then FMEA failure modes and effects type approach on more of a 20 to 30% after that.
22:01
And then beyond that element, maybe just a simple PM optimization.
22:06
For example, if we put this in mass terms, what does the reliability strategies element of mass tell us we should be doing versus what are we doing and when you know, so we can optimise and get ideas on potentially cutting tasks or right sizing frequencies.
22:25
So again, this is a strategic domain.
22:28
And the idea is that this this henster wheel of the day-to-day, you know that that we run on, it's now being informed by the best possible strategies on your most important equipment.
22:42
We're doing the absolutely the right things and absolutely the right time.
22:47
The other side now that now that we're getting great condition based maintenance data, you know, probably we're already getting some before let's say we have better strategies, you know, we really need to make sure those are consolidated in one point.
23:01
As I mentioned before, all the readings, events, alarms, let me put it into one place and have the best possible understanding of equipment help.
23:09
Hopefully maybe that is going to even involve simple calculations, you know, first principle models or physics models to tell us when equipment deterioration is happening and notice that's going to inform and tell us when to go in and do a corrective work order.
23:25
Here's where we're looking at those failure modes.
23:28
Seeing I see the potential for failures occurring, let me let me in my time plan a corrective item.
23:37
Now, once once we've done this process and again have all this data from from the day-to-day, hopefully we're able to event code so problem cause remedy on the work orders that ended up being addressing a failure mode.
23:52
So again, if we're able to consistently, at least on the important assets, at least on the critical assets, enter a problem, cause remedy code, we're getting a long way towards a great bad actor list.
24:05
And you know, just to just to make sure that's fully understood.
24:09
If we, if we look backwards for 12 months or 18 months, what were the top 10 things that ate our lunch?
24:14
What were the top most expensive things, the top 10 failures?
24:18
And and unless it was just a one and a, you know, an act of God, for example, the idea is go in and eliminate those, put a small team and assign them and using one of these three approaches.
24:31
And and here I've listed it from the right to the left based on my opinion of complexity.
24:38
So let's say we've got a bad actor.
24:40
In my opinion, the simplest is is to get a root cause analysis team together and and eliminate that defect.
24:48
Doesn't take a lot of know how and doesn't you know it, it hopefully fairly quickly can get us to a root cause which we can assign to someone to take care of.
24:58
Alternately, there's statistical analysis.
25:01
So looking at real world historical data statistically and trying to improve, doing things like life cycle costing, Weibull analysis programmes and growth analysis, etcetera.
25:14
And then again, my opinion, the most complex, which requires data science, two years of real time data and the events on that real time data marked is, is using predictor predictive analytics.
25:27
Again, that's that's a bit of that cherry on top, which is super and it's great for very critical equipment, but we've got a lot of know how.
25:35
Finally, the the 9th kind of element or work process is, is if we've taken the time to narrow our focus and sharpen it here.
25:43
Let's let's look at the results closely or better yet have the system have mass look at the results and tell us are our strategies effective or should we go back and re evaluate because our number of failures or costs have been have been high recently.
25:59
And last point here, it's cohesive contention that there is a portion of the maximum application suite that can that can address and help our customers make a reliability step change in every single one of these elements.
26:19
And with that I will turn over to Daniel.
26:23
Thanks Kevin.
26:24
Good morning, good afternoon everyone.
26:26
So as Kevin mentioned already, there are multiple reliability strategies.
26:34
He he talked about using the defining some for the most critical assets and some for the lower criticality assets.
26:44
So every organisation needs to find out what are their needs and define which strategy is suitable for their needs and their resources.
26:54
In each case you can have multiple multiple strategies implemented your organisation depending on the criticality.
27:04
At the end, with all the strategies, we are looking to achieve the same things which are reducing downtime.
27:14
We want to minimise the unplanned equipment failures, increasing the equipment lifespan.
27:20
Implementing the right maintenance strategy, the main the right maintenance tasks obviously will increase the the the useful life or or the of the assets cost savings.
27:35
Very important.
27:36
The right preventive strategies reduce the on scheduled downtime and as Kevin said, reactive work trade takes three time more than plan work.
27:49
So emergencies are always were more expensive than the the tasks that are properly planned on schedule.
27:58
Optimising the the spare parts inventory, we need to have the right the right parts in stock.
28:07
Also the safety, we need to have a well maintained equipment to reduce risk of accidents and that will lead to a safer working environment, higher operation, operational efficiency by reducing downtime and having smoother operations and higher productivity.
28:27
And at the end, as Kevin already mentioned, we want to identify failure modes that allow us to to know what has happened already on the organisation or what is likely to happen and make decisions considering the data we have already.
28:48
So let's go to the next slide.
28:50
So there is time for a poll here.
28:53
I would like to know which reliability strategy have you implemented on your organisation?
29:00
If you have implemented several, please go with the with the one you implement on your your more critical assets.
30:02
OK, one minute already so well it seems the majority of the organisations that are present are working with PMO which is pretty much a strategy which starts from the existing preventive maintenance, which is a very basic is a good methodology for a lower criticality assets are.
30:26
But again, as Kevin said, this is not wrong that you're doing the basics.
30:31
You you need to identify what are your industry, your organisation needs at the end, that's the most important.
30:38
You don't need to go to the most expensive or more resources consumer strategies if your organisation or your industry don't, don't need you to be at that point.
30:56
Let's continue please with the slides.
31:00
OK, so I'm going to to bring some examples here of some real cases.
31:06
The first one I want to speak about is an RCM analysis completed on a mine, an equal mine.
31:13
It was done to to the emergency generator.
31:17
This is RCM is usually a strategy that is started from scratch.
31:24
It requires a lot of resources.
31:26
A whole analysis team was there like consultants, operators and mountainers and the the to complete the whole analysis took six week, six weeks working full time.
31:38
The whole analysis team and the end of results around 600 failure modes were determined.
31:47
Around 280 of those failure modes were addressed with scheduled tasks and are around 300 with not not a scheduled test.
32:01
So that means like tasks that are to complete it just once.
32:05
As Kevin said, there are processes to be improved training operators, training Mountaineers, a lot of things that are not possible just to be addressed with a preventive action.
32:15
So yeah, for those 300, around 100 and around 100 were spare parts to keep in stock.
32:27
Let's go.
32:28
Please skip into the next slide.
32:33
And the second case I want to talk about is about an analysis done to a freshwater supply for a whole city.
32:43
So in this case an MTA or FMAA analysis was completed again from scratch an analysis team, but this time it was a smaller team, just a couple of montaners and a consultant consultant on or facilitator and it took only one week to get the analysis completed.
33:08
So you can see there are there are differences between the resources needed and the and the time the outcomes will come.
33:20
But again you see you will see also there the difference on the results on this case around 400 failure modes were determined.
33:29
About eighty of those were to be addressed with a scheduled task 50 condition based 20 PM and around 10 to be done by failure fund finding.
33:43
So again, it's less time consuming, the resources are needed are less, but you don't get as many failure modes and as you can get with as with an RCM for example.
34:01
So I want to bring you these actions because I wanted to highlight that the actions themselves are not in if are not properly implemented.
34:15
So you need to to to make sure the resulting actions are properly implemented to see the results.
34:25
In the generator case around 600 actions just for one asset.
34:30
This is one asset of a mine but you there are more than 10,000 assets on that mine and for the freshwater supply there were around 80 actions to be implemented.
34:44
But these 80 actions have to be implemented on more than 4000 pipelines, kilometres of pipelines, 3000 hydrants and around 10,000 valves.
34:58
So there is no way this can be handled with the proper systems and the proper tools.
35:05
So again, these actions themselves are wordless if not implemented.
35:10
And to be implemented you need to have the right tool, the right tools.
35:16
So you need to have the right strategies done on the right way and also have the right tools and use them properly so you can succeed.
35:27
Again, the actions themselves are just suggestions if you don't carry, carry them out on the assets.
35:37
So make sure you have the strategies, but also the tools to get them implemented.
35:44
And that's all from me.
35:46
And so I pass it to you, Patrick.
35:49
So you continue.
35:52
Absolutely.
35:53
Thank you, Daniel.
35:55
So far Kevin's talked about maintenance maturity or or capabilities, how to bring the, the three documented domains he he's listed through a reliability journey.
36:07
And Daniel showed us what the, the cohesive reliability team can, can produce through studies.
36:13
I'm going to talk about what this can all look like if you build it through Maximo.
36:18
And to do that, I want to start by introducing the reliability strategies from IBM.
36:25
Last year IBM released the reliability application and and this came in the form of a library with 58,000 failure modes which integrates into a new application called reliability Strategies.
36:42
So this is going to be crucial to kind of some of the the tools and solution that we're going to show you.
36:48
But note that reliability strategies is just a standard add on and this is included in in all base mass entitlement.
36:57
So cohesive has leveraged our extensive Maximo and reliability experience to build a solution where you can take the details within the reliability strategies and and apply that within your mass deployment.
37:12
So now I'm going to turn this over to show you what we've built.
37:20
All right, Kevin, I'm going to steal the screen here in a second.
37:28
And I believe you now are looking at our criticality application.
37:35
OK.
37:35
Starting with the focus on criticality, if we know which asset failures impact our business, then we can start to prioritise the maintenance and and reduce the overall risk to to the company.
37:50
What we have is a custom application.
37:54
Sorry Patrick, we're just seeing you not the demo screen.
37:58
Interesting.
38:02
OK, let's try this again.
38:08
You are sharing, just not the demo screen.
38:10
It's showing the.
38:15
Well, let's try that a different way.
38:19
Patrick.
38:20
I was having success doing the entire screen instead of just the app.
38:23
I don't know if there's some new ones there.
38:43
How's that coming?
38:45
Yeah, that's you have it on now.
38:47
OK.
38:51
Yeah, sorry.
38:52
So we're in the cohesive custom criticality assessment application and what we want to do there in in Kevin's diagram early on, right.
39:04
And I'm sure a number of you have already started this process is define what are your most critical assets, what's providing the, the risk, the highest risk to the company.
39:15
And to do this, we want to wanted to come up with a solution that improves overall line of sight, right.
39:21
So if we look at the, the reliability programme, the asset management and, and work maintenance and supply chain, how can we include that in, in one application?
39:30
And and this with reliability strategies and, and some relational tie insurance is, is how we see that working.
39:38
So beginning with a workshop to define what the key drivers are for your business.
39:47
Some common areas would be around safety, environmental, customer service, throughput, probability of failure.
39:56
What we're able to do is set a value on each one of these and this can be configured fuller fully to what your business needs are, but.
40:07
Looking at this example, we've got an A value assigned which will be an input for our overall calculation of risk and criticality and then descriptions for the team to select those.
40:24
As we build out the, the calculation within this application, we're able to document the time and place who it was performed by, not just the lead, but the entire assessment team.
40:36
And we've built in flexibility here within the definitions tab that allow us to populate those domain fields further, whether it's an asset or location that you're running the assessment against.
40:49
Once ready, you can run your, your calculations and then that'll produce our calculated risk score, which is, is a sum here.
40:58
I can show you the the formula as we go through the demo.
41:01
And then our criticality is a score of one through 9.
41:06
I can apply these directly to the asset and or location record that this is tied to.
41:12
And we can see here which records it's been deployed on and where it's being used and when it was performed.
41:25
OK.
41:27
So now that we know which assets are most critical to the organisation, we can start to look at building out a strategy.
41:35
And within the assets application, I mentioned reliability strategies or asset module, I mentioned reliability strategies.
41:45
This is where I have those 58,000 failure modes.
41:48
And we start with a list of about 800 assets to begin with.
41:52
So we can see here there's a wide variety to choose from.
41:57
I'm going to go with the centrifugal pump.
41:59
So I start with my my pump asset and then I further go into the asset type and then this is where it comes to bear, right?
42:08
We can see a number of different type of configurations.
42:11
So how is this asset built will lead to different strategies overall?
42:22
Once I click on that, I can see from left to right here, I'm provided with 128 failure modes for this configuration and then ten ways to rectify or mitigate that potential failure.
42:36
Over on the right, my boundary talks about kind of what's included in the strategy or excluded when applicable here.
42:44
So it gives me a definition of what I'm looking for.
42:48
And one thing I want to note as we go through this and the 9 dot O release, what you now have the option to do is, is modify or create your own custom strategies within this, right?
43:00
So if you see something here that's related to to one of your assets and and need to modify it, that's now an option out-of-the-box coming into the the failure modes, right?
43:13
I've got a number of different options to, to select from and I'm going to bring in the, the Kingsbury type.
43:19
Breaking down further, I've got failure mechanisms.
43:23
As I look at fatigue, there's different, 8 different influences on why that might have happened.
43:30
And I'm going to look at a problem with my lubricant.
43:35
So this is the, the failure mode, right?
43:38
We start to see where, where it came from.
43:40
So fatigue goes up here.
43:42
If there are any stressors, what's pushing that to happen?
43:47
As Kevin mentioned, right, we've got the, the P to F and, and how do we start to move that further to the right?
43:53
So the, the big concern here, right, is this is limited warning period.
43:57
So to me this immediately becomes a candidate for monitor integration to say how, how can we bring in that sensor data to help trigger an early alert or an analytics for the lubricant right?
44:11
To say we've we've got this third party that's integrating into maximum and we can bring that data in to show we've got something leaching in there.
44:22
So within that a standard repair time is it is being offered.
44:26
And then what type of opportunities or how can you find that down here is essentially our mitigation activities, right?
44:34
I'm going to and showing you where they are related or sorted by effectiveness.
44:39
I'm going to continue left to right and then just click the tab up here so I can see a further detail of what's going on.
44:46
I'm able to modify this or sort it by duty cycle as well as when to how severe the service is going to be.
44:54
So if we talk further along that oil analysis, this is essentially my PM and, and job plan, right?
45:01
So what are the descriptors?
45:03
You have the option to copy these out to a clipboard and then build that into your PM programme.
45:11
What are the, some of the considerations you'll need for your job plan and, and how long should it take?
45:17
What should be your, your standard frequency?
45:23
OK, so I, I have a strategy or I can build out an, a number of, of different strategies within this application.
45:31
But what we wanted to do is keeping in with that line of sight.
45:35
How, how do we attach that to an asset?
45:38
And that's what I'm going to show you next.
45:50
Off the bat, I'm searching for our demo pump here from the boiler room, right?
45:55
We can see the the criticality score and risk have already been applied and we're, we're also bringing in health to to document that.
46:04
So in this instance, the and just depending on time, I'm trying to watch the clock here as well.
46:09
We have reliability strategies, monitor and health deployed coming into the asset application.
46:20
What we can see is that read only criticality and relative risk have been populated from our assessment application, right.
46:28
So we we want to keep that single source of truth.
46:31
I've gone through the practise of defining which are my most critical assets and applying a reliability strategies to that, but I need to understand which ones they are and and how they're being leveraged.
46:43
So over here we've got a, a dialogue box showing that relationship.
46:47
So within this, right, we've got 7 metres and a number of strategies that are being implemented at different levels, right?
46:55
An asset can fail in multiple ways and I want to see what we're doing to document that.
47:01
So focusing on inlet pressure, right?
47:03
We've, we've got our failure mode and our mitigation activity.
47:06
I'm just going to quickly show you if I need to dig into that further and and understand what that's telling me from reliability strategies.
47:14
We've built in a link directly to that, right?
47:17
So I can document what the functional failure was.
47:20
Again, limited warning period.
47:22
How long does that take to repair?
47:24
What are my options for mitigation?
47:27
Just coming back to my other tab here, right, I can see the functional testing was the the path forward with this one, OK.
47:39
Within that, I obviously have to build a series of metres to define where those strategies will be deployed.
47:46
Within this one, we talked about a monitor integration.
47:49
So for my inlet pressure, what I've done here is set up a device within monitor pump 03.
47:57
Sorry, we'll reference that as we do a quick intro into to monitor and what's been built there, right, But I can see I'm bringing in sensor data, but I'm also deploying operator rounds as part of my overall strategy for this asset to reduce maintenance and define how far out I can push the functional failure condition monitoring point here, 10/03, 9:00 will show in the next tab.
48:24
And then again, how are we defining the related strategy to this specific metre that's been deployed?
48:34
Additional configurations that are relevant here.
48:37
I've got my PM for the, the actual inspection, right?
48:40
And then 10039, which I, I just mentioned, this is my inlet pressure.
48:45
So how do we set a point of failure when we want to or a threshold, Excuse me, So we've got our warnings, right.
48:53
What are those limits?
48:55
And then tying to the strategy, what are we issuing, what kind of work are are we going to perform related to the to increasing the reliability of the asset?
49:08
Excuse me.
49:12
OK, let's see here real quick.
49:17
We this is our criticality tab as well.
49:19
So we talked about what kind of scoring we would define here.
49:23
I'm going to start from the bottom up as our relative risk is a cumulative score here, right?
49:28
So we talk about the the sum of each of those values times the probability of failure, right?
49:34
So risk is probability times consequence and then within our criticality, right defining what each of the thresholds are and then weighting those against what the overall solution would be.
49:52
So we've defined what what are our most important assets, how are we going to better maintain them?
49:58
What is the work going to be executed against that?
50:01
And then I'm going to show briefly just what some of that data looks like and and how else you can support that overall maintenance.
50:11
So real quick, we're going to go into our alerts within a monitor.
50:15
I can see here, right, we show that device pump 03 is my my device number.
50:21
And then we had a threshold exceed on March 17th.
50:27
As a, an operator, I can come in and and acknowledge these alerts as they come in.
50:32
I can see when a service request has been issued or I can issue a new one myself.
50:39
High level that that's a quick touch base.
50:41
I'm going to move quickly because I know we're at time and near questions.
50:45
The last part of the solution here is our custom scoring, so new enhancements with 9 dot O right, The system is now telling you where you can add additional sorts of information.
51:02
I'm looking at my health scores lowest to highest here for our configured assets.
51:08
So I want to start to look at the one with the highest risk score to me.
51:13
So that's again my pump 003, we have low health on this right.
51:19
So I need to take action.
51:21
What cohesive has done here is we've built their our custom criticality score.
51:25
So this is different from the standard out-of-the-box.
51:29
And then we've added a remaining asset value.
51:31
So I, I have heavily exceeded the annual maintenance planned and cost of repair or replace this.
51:41
So we need to look at that pretty soon in our our overall review additional notes here, the reliability strategies application linking that back into it.
51:51
And as you can see, right, we're able to kind of bring these scores throughout the application, not just base manage, but monitor and health and sharing the data between that.
52:05
All right.
52:07
So that is the conclusion of my demo.
52:15
This correctly here.
52:16
All right, So you all should be seeing our Yeah, I got it.
52:30
Thank you much.
52:34
OK, we've talked today about increasing your overall reliability and and better understanding the assets you've deployed and plan to deploy in the future.
52:44
We're confident that the the new mass application will help organisations like yourself make those step incremental changes and and bring yourself along the reliability journey.
52:58
Understandably for maximum users, the transition to mass comes with a number of questions, not just about reliability, but about infrastructure being able to better use and leverage the applications that maybe aren't being deployed currently.
53:14
And to support that we we've built a a free mass evaluation.
53:19
This provides an expert LED actionable assessment for your current EAM or or maximum instance that produces a road map for a seamless transition to mass using data points that you can clearly see and leveraging existing functionality to improve your ROI when moving to mass.
53:41
Along with this recording, you'll get a a link to learn more about the the evaluation.
53:47
And now I will open it up for questions and turn it over to Alexa.
53:53
Yeah, thank you, Patrick, and thank you all for that informative session.
53:57
We have time for some questions from the chat box.
54:00
Patrick, what version of Maximo did you just demonstrate in your demo?
54:06
Yeah, sure.
54:06
It's that is 9 dot O And then also can Maximo import data from Metasystem or Metasys?
54:18
Yeah, absolutely.
54:19
So flat files, right?
54:20
If you want to do static files that can consume those into monitor or manage depending on what you have deployed or looking to optimise, you can also bring in IoT or historian data into monitor, right?
54:40
If there are no other questions, I don't see any in the chat box or the question box, then we can conclude our webinar.
54:51
I want to again, thank you.
54:53
Thank our speakers for joining us today as well as you, our attendees for listening.
55:00
We have additional information available on our website in the form of blog posts, articles, case studies, and even brochures.
55:06
If you want to really reach out and discuss your strategic path forward, please reach out.
55:12
You can also reach out via our website.
55:15
Then that is a wrap for today's webinar.
55:17
Kevin, Patrick and Daniel, thank you again and I wish everyone a great day.
55:23
Thanks for joining.
55:24
Thanks, everyone.
55:24
Thanks, everyone.
55:26
Thanks everyone.
Minimize Risk and Improve ROI of Your MAS Upgrade
Enjoy the webinar! If you have further questions or need support, our team is here to help.
View Transcript
0:06
Good morning, Good afternoon.
0:08
My name is Elke Hellberg.
0:09
I am part of the adhesive marketing team.
0:11
I will be assisting the team today with the webinar as moderator.
0:15
We will give it another 30 to 60 seconds to allow all the attendees to join us today.
0:42
Great, I think we can start.
0:44
Hi everyone and welcome to our webinar on minimising risk and improving ROI of your mass upgrade.
0:50
In this webinar, you will learn the status of mass, bigger changes and considerations, a road map to make a change, to make a step change in the maintenance and reliability model, Various upgrade scenarios and upgrade path to match your goals.
1:05
How to minimise the disruptions costs at risk of your mass upgrade as well as how to improve ROI with mass Leveraging out-of-the-box functionality to expand, expand use and increase effects effectiveness of the tool.
1:19
Before we start, I would just like to highlight some administrative tasks.
1:23
Note that this webinar will be recorded and distributed post webinar.
1:26
All the attendees are currently set to listen only mode, but feel free to post any questions or comments in the chat or question box.
1:33
We will address these at the end of the webinar.
1:36
Should you have any technical questions or problems, please log it with the go to web and our technical team in the form of a question mark or help section on the panel itself.
1:45
Right, I will be handing over to the host in a bit, but let me do a introduction of our speakers and Cohesive first.
1:52
Our speakers for today are Tyler Stevens.
1:54
He works in change management and strategic advisory for Cohesive.
1:58
Then we have Joe Longin, Senior Solutions Manager at Cohesive, Bill Wallace, Principal Technical Consultant.
2:05
And lastly, Jeff Yasinski is a Director of Hosting Services at Cohesive.
2:11
Working across all stages of the life cycle, Cohesive helps owner operators embed digital ways of working that Dr operational efficiency and enhance asset performance.
2:21
Cohesive draws on Cortex solutions to support its clients.
2:24
These solutions include Bentis Infrastructure, Cloud I Twin and IBM Maxima, for which Cohesive is the largest implementer.
2:32
Right.
2:32
Without further ado, let's dive in and hand over to our first speaker for today, Tyler.
2:38
Thanks, Elki.
2:40
So from MAXIMO to MASS, we can go into the next slide, please.
2:45
So MAXIMO, So what is MASS?
2:47
MASS is an acronym for Maximo Application Suite.
2:50
So why change the name?
2:51
Maximo is a great name.
2:53
Now think of it as MASS because there's multiple applications to fully deliver enterprise asset management.
3:00
Maximo for all its glory used to have a little bit of limited capabilities, specifically with AI reliability strategies to where even though it could deliver a lot of solutions, still had some limited capabilities.
3:13
Now IBM was able to create multiple AI applications to where you can deliver full on life cycle management from start to finish.
3:22
Don't need as many third third party softwares.
3:24
So from this you can think of it as multiple AI powered to whether it's future proofing and you still have all your industry solutions and your add-ons.
3:32
So none of the industry solutions went away.
3:34
All your add-ons are still there.
3:36
Think about it as there's now AI powered applications within Maximo and then it can be deployed on Prem, on premises, in the cloud or on both.
3:44
So while it was a big move to change from a security standpoint, so instead of the security getting from cloud, you're also getting now AI featured capabilities if you choose to use them.
3:55
Next slide, please.
3:59
So mass is multiple applications, Manage is how you're probably your current Maximo environment looks.
4:06
Manage can be similar compared to Maximo currently.
4:11
So this is now intelligent asset management where it has AI features built in if you want to use them or it'll very much resemble your current system you're in predict, that's going to be your AI features predicting health.
4:25
Health will feed your predict model, and then you'll get all your AI prediction algorithms that feed into manage.
4:32
This really helps you become more predictive and we'll talk about predictive and reactive and proactive maintenance later on.
4:39
A lot of these applications help with the overall ageing workforce to bring an AI to help alleviate technicians leaving the field.
4:47
Mobile, still mobile, but now it has a lot more smoother user interface and we'll talk about it's included in manage.
4:55
We'll get that into the next slide, but you can do a lot of applications based in mobile as well as the AI features and then monitor, one of my personal favourites.
5:04
This helps you if you're, if you're unsure about AI, you're hearing a lot about AI.
5:08
Monitor will let you take what data you have now, current and historical and any sensors you have, and you start feeding in the data and seeing, OK, we have an anomalies, vibration analysis, whatever it may be, we could feed it into our current system of Maximo and we can actually start seeing where we're having issues.
5:27
If you don't think you're ready for full on AI, you don't need to use everything predictive yet.
5:31
You can get into monitor, one of my favourites, to where you set yourself up the correct data before you start using future AI tools.
5:39
Visual inspection.
5:41
This one's also really cool.
5:42
You can do a lot of things mobily to where you can actually take pictures of assets, anything that's dented within tolerance, out of tolerance, within review.
5:52
You can take pictures and you can simply drop a philtre on top of it, drag and drop philtre, characterise it.
5:59
And then you can start saying vertical, horizontal and just a few pictures that you take turns into hundreds of pictures.
6:05
And now you can start saying what's intolerance, what's out of tolerance, and you can pretty much alleviate the grey area to where your system now knows based on what you define whether assets are needed to be checked or within inspection, you could actually build that data of what's good and what's not.
6:21
Assist, one of my favourites, is pretty much takes that 30 year workforce experience from technicians and embeds it into Maximo.
6:30
You can create fault isolation trees that go into your asset registry to where now you can have all the experience that you had and if you could have characteristics built in how to do procedures correctly to where you can break down everything instead of just manage that has work orders, you can now have full on full isolation troubleshooting help information that previous technicians had.
6:55
You can embed all that information in to assist and that could also be done on mobile.
7:00
And then 360 health or 360 view of assets being health.
7:03
And that predict goes into the predict model.
7:05
That's where you see is your criticality score, your health score, where you can actually see where is the entire organisation health.
7:12
You can drill down into hierarchies.
7:14
You can start seeing where are my assets from health wise before they go into failure or before they lose decreased efficiency.
7:23
And then schedule, it's been optimised, used to be a little clunky and harder to use.
7:28
Schedule is very much smoother now and that's included within manage.
7:31
We'll talk about that in a second.
7:32
And then safety, very similar to health, safety and environment, but safety uses your AI driven, your IoT sensors to actually say, hey, something is going wrong from a safety perspective.
7:43
This needs to be looked at.
7:45
And then from an IBM cloud pack, just the areas that you can deliver on, whether it's AWS or just capabilities that Maxima can be deployed to.
7:55
Next slide, please.
7:57
And then manage is where I talked about if you're currently in Maximo, this is what manage is today.
8:02
It's it's a full on application of what you used to have essentially.
8:05
And then mobile and scheduler are now included and Manage, they're not separate licences.
8:10
So if you're like, hey, I just want to get into a new software.
8:12
I was told to move in to upgrade, then you're going into Manage and then you get mobile and scheduler.
8:18
So even if you're like, if you're upset about having to be forced in the move, now you get mobile and scheduled for free and schedulers much more easier to use and mobile has a lot better user interface.
8:28
So all three are used and all your queries go into any of the AI applications as well and they all feedback in.
8:36
So everything's easily used later on.
8:40
Next slide, please.
8:42
So in the application suite licence model, if you're saying, well, now there's no no longer licencing, what do I need to do?
8:48
Now you have what's called App points and you have 4 different types of users and you share a pool of app points.
8:55
So if you have some users that are just using service requests or minimally used, they don't, they're not going to use any app points.
9:00
We'll get into that on the next slide, but for here you're like, well I don't know what all I need to use yet, that's fine.
9:06
Or if you want an industry solution, you don't need another licence anymore.
9:10
You simply just need app points and you could have certain users that are using a lot of applications or industry solutions.
9:16
They'll just use app points and now you can pick and choose what you need to actually fit you.
9:21
Instead of just buying a bunch of licences, you just use your app points and you can distribute those that actually makes sense.
9:28
And the next app or next slide, please.
9:31
So then you have four types of users, self-service, limited, base and premium.
9:36
So as I said, with the self user, you can just do service request that doesn't cost any app points.
9:41
So you can have multiple.
9:43
So if you have contractors coming in that just need to do certain requisitions or they need to create certain things, they don't need to come in and have full on licence.
9:51
And then certain users that will use certain modules and then modules have applications, they also use limited application points compared to the others.
10:01
So whatever you need your users to do, you can have the appropriate app points to where it's not just having multiple licences, you're actually having app points needed.
10:10
And then we look at premium users and then when you get all the AI tools, So it's, if you're worried about, well, how much more expensive is AI, it's just uses more app points instead.
10:21
So if you have a lot of users not using app points, it can be, it can be very similar cost based on how many app points your users actually use.
10:28
And then as you see what you, what you need, you can change your app points and the next slide, please.
10:35
So this is asset performance management where I talked about Maximo with all its capabilities.
10:41
Personally, I didn't see you have great performance management and reliability strategies.
10:46
Now it does and now we see historical events being reactive, preventative, predictive and proactive and we'll talk about that later on in this presentation.
10:54
Now we could actually reinforce our data and prove how are we reactive, what does that cost, what if we're preventative and what happens when we start being proactive with condition based indicators and we start predicting when things are going to go bad.
11:08
So we have appropriate lead times and our requisition is correct and our scheduling and planning.
11:12
Now we've become more financially optimised.
11:15
We can actually do asset investment planning capital based Ont to where we are O&M to where we can start making the correct decisions based on our assets coming from our management policies and plans and strategies to our whole system feeds in backed by your data for you can make the correct investment decisions on the next slide, please.
11:36
And then asset performance management very similar.
11:39
You have your IoT devices and then what is your system ingesting?
11:44
And then you also use your historical data and you get to comb your data to see, hey, are these sensors?
11:50
Is this what we're looking at appropriately?
11:52
And once you deem this is correct, this is the data we want, feed that into your analytics.
11:56
And then your analytics goes into all your applications that you need to make the appropriate performance management decisions that goes into your performance software.
12:05
You start predicting correctly, you start seeing failures in advance.
12:09
You know you need to make the appropriate decisions on downtime, on scheduling, on outages, how much can you bring into an outage?
12:16
And then we go into our AP is with our work order, our history, all that feeds into our investment and our long term capital plannings to where your system can help fully back your decision of hey, we need X amount of dollars, here's our budget, here's how we're going to use our budget and you can back it up.
12:33
Well, why do I need X amount of dollars?
12:35
Because of our assets and their performance based on our own data.
12:40
Next slide please.
12:44
So what are we doing?
12:44
We have a free mass upgrade evaluation and if you can't scan it right now, we're we're showing the same slide at the very end.
12:51
So what do we want to do?
12:52
We want to reduce the risk that when you're going from your software into a new upgraded one, you're not worried that when you flip that switch, you go, you go live and you're in a new production environment that there's any risk you're going to lose data, you're going to lose integration.
13:06
We don't want to do any of that.
13:07
We want to make sure that you seamlessly have perfect interaction on day one.
13:12
This also, even though it increases confidence, I like to call trust so that you have trust in us that hey, we know that when you go into a new system, you're taken care of and that builds confidence.
13:24
And it's not just confidence in us, it's confidence in your users that when they're going into a new software, the new production environment, they're confident in it.
13:31
They know, hey, there's no issues.
13:33
And then from a, from an actual improvement going into a new software, you're confident in what you're getting.
13:40
And then from an improving readiness perspective, Are you ready to go into the next, whether it's eight or nine, what are you going into?
13:48
Are you ready to go into that?
13:49
We make sure, hey, there's certain things we have to do as prerequisites or what is your appetite for going into applications?
13:56
What do you need?
13:57
Ultimately, we want to improve reliability, reliability in your system and your technicians and your workforce.
14:03
We want to make sure that our upgrade process that is reliable also make sure you're optimised.
14:10
Are we taking 30 year old processes that have never been looked at and just putting them into a new software tool?
14:16
It's not going to do anything for you, it's just a tool.
14:18
We want to make sure you're fully optimised and then we want to prove this, that there is ROI.
14:23
Lot of people will say they can do ROI.
14:25
We show your data, show actual metrics and we'll show that later on in the presentation where you are actually saving money.
14:32
My job isn't to make the company money, my job is to make you money.
14:35
We want to show here's where you're going to be more optimised based on these tools that you're getting that makes sense for you.
14:40
And then we'll show this slide at the end and so you can scan it then and then next slide, please.
14:46
So now we'll go into a poll question and I'll hand it off to Joe.
14:52
All right, great job, Tyler.
14:53
Thank you.
14:54
So yeah, before we jump into the next section, thank you all for joining us again.
14:58
We'd like to ask you a question at this point.
15:00
So for those of you that are joining us and we'll share the details here.
15:04
When is your organisation upgrading to the IBM Maximal Application Suite?
15:09
The pool should open for you and you'll be able to make a selection.
15:14
And then once that selection is made, hopefully we'll be everybody will be able to see that on screen.
15:18
And if not, we'll be able to share the details at the end.
15:21
So we'll just give it like 30 seconds to to just under a minute here while responses come in and basically have some choices there.
15:30
You know, are you thinking about it now or you are you thinking maybe sometime in the future?
15:35
And you know, it definitely helps us.
15:37
It might, it might help us to interact with you.
15:39
It probably will help in your own thinking to consider.
15:43
Do I have all the details that I need to make this decision?
15:46
So, so far, we have just about half of the folks that have voted.
15:50
We'll just give you just a few more seconds here.
15:53
For those of you who've joined us, again, just a poll here to find out when you're thinking about upgrading or if you're already planning, maybe some of you have already upgraded.
16:05
So well over half, about 60%.
16:07
So I think we can close the pool out there and I'm sure I think everybody got to see those on screen, but if not, we'll definitely be following up.
16:16
So everybody that has joined us or if you're seeing this afterwards, we'll definitely share those results from the pool.
16:22
Looked like quite a few people were thinking about that, you know, in the next one to two years about, you know, moving to the maximum application suite, which is something that we've heard a lot, you know, around the industry.
16:33
So next slide, please, Bill.
16:38
So I'm going to talk a little bit about in Section 2 here about the process of moving to mass and some of the upgrade pathways that we have, how we minimise cost and, and risk and disruption to the organisation.
16:50
Next, please.
16:53
So we know from, you know, just across the industry in, in talking throughout the, you know, the Maximo space at different events and sitting down with our clients directly.
17:05
And, you know, everybody's taking a look at this and they want to have a few things, they want to have confidence in this application suite.
17:11
You know, it's, it's something new.
17:13
There's, there's some things that haven't changed, but there are a lot of variables that have changed.
17:17
The people want to consider they, they want to have efficient and seamless upgrades.
17:23
You know, if you have a great process that you've deemed before or maybe you've even had bad experiences in the past, you want that to go smoothly.
17:29
You want to impart as little change in disruption to your work and your organisation as possible.
17:35
You want to achieve maximum value from from this solution and continuously increase that ROI because it is an investment for both the organisation and into your technology.
17:47
You want to increase reliability not only of the systems that you're using, but the reliability that you're providing your organisation.
17:54
Thus, by reducing risk to the organisation and extending your capabilities.
17:59
So how do we determine if if you can get all of these things as a client from from an organisation in the maximum application suite?
18:07
Next, please go.
18:09
So first we have to start by thinking about, you know, how do we positively impact your organisation.
18:15
And maximum application suite absolutely provides benefit to organisations when it is delivered and utilised in a way that's aligned to your business requirements.
18:24
And that may or may not be the case today.
18:26
If it is, we want to keep it and, and make it even stronger.
18:29
And if not, we want to move you in that direction.
18:31
So we know the common pitfalls and the complexities associated with the type of transition that you're that you're looking at here.
18:38
And you know both yourself and the organisation and our and us to help you with that need to understand where you are today next, Bill.
18:46
So as, as we take a look at, you know, where you are right now, we're going to look at things like licencing the, the current system health and functionally how you use the systems that you're using today.
18:58
And you know, that will give us a starting point to then take a look and build the requirements that are necessary for an upgrade and a transition to the application suite.
19:08
Things like a continuous deployment or whether or not you will, you know, potentially need to stay on a current version for a long amount of time, whether or not your data is clean.
19:19
Do you need enhancements to that data?
19:21
Does your data need to transition itself or can it simply be moved into the new system?
19:27
Can you achieve A0 downtime, minimising the impact and the risk to your organisation and is that required?
19:34
Are you OK with a transition process that's necessary?
19:39
Part of that will be based on also is it a technical or business upgrade that you desire.
19:44
And so it may be one or the other or both where you just want the systems to be the newest, the most supported and compliant.
19:52
Or you may have business processes or changes and enhancements that you need to make to the system.
19:57
And again, it could be one or the other or both that are very, very important to you.
20:02
How is the infrastructure going to be handled?
20:04
Do you already host it today?
20:05
Would you like that to be hosted or do you want to build that capability inside of your organisation for the infrastructure that is required?
20:13
And a lot of organisations are looking to de customise, right?
20:16
Let's remove the complexity.
20:18
Let's take a look at capabilities that are already available out-of-the-box.
20:21
So it de risks, you know, future transition States and potentially leveraging it, you know, more capabilities from the system that are not possible today based on how you use it.
20:32
Next please, Bill.
20:33
So as we gather all those requirements, we're really defining a full scope of what's needed for the business.
20:39
So it's not just about getting you on the newest version of a software, it's really understanding what the business needs so that you can then define a strategic approach for the organisation and make a decision.
20:50
Are we ready to go now or is there work that we need to do, meaning we should postpone or schedule that as some of that work is being prepared so that we can understand how the organisation is impacted.
21:01
Or, you know, for changes to to get in process, whether that be people, process or technology.
21:08
And that will help to complete, you know, and we can provide then an upgrade methodology essentially so that you you get some comfort and confidence in that process.
21:18
Next please.
21:20
So through that then there are some required artefacts that that you know, will be created or that we will gather through this process.
21:29
And really what you're looking for is, you know, what is the optimal licence situation?
21:33
Have you already converted to app points or do you need to make that conversion?
21:37
Do you need to increase, decrease or right size the organisation usage?
21:40
Through that there, there will be, you know, key milestones and timing, right?
21:44
From a change management aspect, we again, we want to minimise the impact of the organisation so that sequence things properly, but make sure that they happen in a necessary time frame.
21:55
Understanding the cost and the and the full proposal, right?
21:58
What's the value that we're receiving?
21:59
What do we need to do to make this happen?
22:02
Understanding the infrastructure, again, depending on whether it will be hosted, you know, how does what, what is included, you know, in hosting whenever you move to that.
22:10
And Jeff's going to talked about that very shortly.
22:14
And then potentially functional enhancements in a road map, right.
22:17
So if I do want to start extending my capabilities, you know, how do I get there and what is that road map, what am I using today versus what we want the organisation to be doing tomorrow?
22:27
So next please, Bill.
22:29
Cohesive has a very specific approach to this and our upgrade pathway, we add some offerings to this where Cohesive specialises.
22:37
And so these offerings that are highlighted there, I'll describe quickly that help us get the lay of the land that that we developed that baseline.
22:45
And we provide extra data into those requirements as we're building the scope to make sure that you're making the right decisions and you do have confidence and comfort with the process.
22:55
The 1st is a is a, is a licence check.
22:58
So this is actually something that can be run against the system.
23:01
It will take a look at, you know, current utilisation and understanding whether you're sized appropriately today and you know, what the utilisation is within the organisation.
23:13
Health check is a high level review of the entire system that takes a look at, you know, what applications are you using?
23:20
How is Maximo, you know, being utilised today?
23:23
Potentially finding some, you know, some common issues that we see so that it can help us to develop the road map or identify, you know, changes that maybe should be done as part of the implementation process so that on the other side, you're not actually carrying problems into the new system.
23:39
The log analyzer dives deep.
23:41
This is a very technical specialised view utilising the logs from the system and can tell us technically what's happening with Maximo from that high level down through to a very granular level.
23:51
And so you know, you there may be problems with your system, with your users or yourself you're not even experiencing, but we can uncover those by reading the data from the system that's not typically viewable to to front end users.
24:05
And then there's the functional assessment.
24:06
And so this is more of a business assessment, understanding using some of that data in this assessment to see again, how you're using Maximo.
24:14
Are you trying to do things today that could be easier by doing something different.
24:17
And again, this analyses people, process and technology that's all combined into advisory services where we have, you know, we have SMEs with experience in in your sector with Maximo and with specific business processes and data that will take a look at the information that's provided through those specialised services and gather the requirements in order to create that methodology for the implementation.
24:44
So next, please will so de risking the the move to the maximum application suite.
24:50
I'm just going to hand over here to Bill and talk about how can we drive one of those requirement pieces that you that you saw there, which is considering A0 downtime upgrade and some of the tools and services that we used to provide them.
25:03
So with that, I'll hand over to Bill.
25:05
Thanks, John.
25:07
So hi everyone.
25:08
I'm, yeah, I'm going to talk a little bit about the cohesive data utility, which we also refer to as the CDU.
25:14
This is a toolkit that has been used on some of the largest implementations of Maximo globally to date.
25:20
And it's something that's becoming a core piece of our upgrade methodology within cohesive to assist clients in moving to mass, but also with any other technical challenges and upgrades where downtime and looking for that seamless upgrade experience that we we discussed on previous slides.
25:37
So this is going to be a little bit of a visual indication of of how the solution works.
25:43
So here what I'm representing is your user base entering data into your current maximal production system.
25:50
The case of data utility CDU would then be installed.
25:54
Of course, this would occur after we've run through your dev and test environments, but we'll focus on production here and we will activate what we call our change capture mechanism on your current maximal production database.
26:07
What this is now doing is tracking all of your user data changes.
26:11
So not configuration, but anything to do with your assets, work orders, preventive maintenance records, inventory purchasing, etcetera.
26:19
All of those day-to-day data changes that the users are making are now being tracked by the CDU.
26:25
I'm for us to pull into mass later.
26:29
What we can then do is by taking a snapshot of the current maximum production database or backup, we can take that away and complete the IBM maximum upgrade process.
26:39
Now, that might have various upgrade versions depending on what version you're currently on.
26:44
It may have various different complexities, maybe there's issues that occur with the IBM tooling.
26:49
But what this does is allows this process to take as long as it's required because your users still have not been effective and are still working away in your current maximum production.
27:00
So what does that leave us with?
27:01
Now we have a maximum production where users are entering data or where the CDU is capturing and knows of those changes.
27:09
And your new mass version, which has all of the data that we took in that backup and to do the upgrade upon and all of your existing configurations that have now been upgraded.
27:20
But we now need to pull through all of those data changes that the users have created.
27:24
We map it to be to transform the data to be compatible with the new MASS version that you're in, including any new fields you may have developed as part of any business enhancements.
27:35
All of that can be auto automatically pulled through and set correctly in the new MASS version.
27:42
We can continue synchronising this for as long as required.
27:45
It's not quite in real time, it's done in the batch schedule, but it's fairly close to real time at this stage or by the time we come to thinking of cutting over.
27:55
At this point, you might choose to stop the synchronisation and do some testing in the new maximal.
28:00
So you could go ahead and take a backup and I'll show a slide visualising that shortly.
28:06
But essentially you get to validate ahead of time in that new maximal system that everything is working correctly before you go live.
28:13
We no longer have the concern of, well, is this going to go well over the weekend or when we choose to start the outage?
28:21
At this point you've already upgraded ahead of time.
28:24
Once you've had all of your users validate you're ready to cut over, that's the case of turning off your current maximal production.
28:30
You might have some other cut over processing to complete, such as moving a reporting system or re pointing integrations and various of the technical challenges that you might have within your own infrastructure.
28:42
But in that time, the CDU has synchronised all of that user data over to the new Maximo, and it's a case of your users now logging into the mass environment and continuing their day-to-day work.
28:54
It really does give you full control over the time, not just the date, but the time you can go live into Mars.
29:03
So from a project perspective, how does that look?
29:05
Well, today you might be start working in A7 dot X version, whatever version you're currently on, and you're gradually doing your migration packages for various different configurations through into production.
29:17
Once you've either decided right, we're going to start the upgrades, you may input, sorry, impose a change freeze.
29:25
If you do not want to have a change freeze, then you have the option of whilst you're building configurations in here.
29:31
Once we take this backup for the upgrade, any new configurations would have to also be applied through into MAZ unless we complete the upgrade again for you at a later stage.
29:42
But assuming this is the final upgrade we would complete, the upgrade is done using a snapshot of your maximum production database like we showed in the previous slides.
29:51
And then you move into having that database inside MAZ.
29:55
The CDU is then activated to start bringing over data to actively sync the data from production.
30:01
And then I mentioned you can then disable the CDU, have a manual backup of your database taken to allow you to complete testing and doing anything that in that environment that you want to prove it's ready to go.
30:15
And something that a number of our clients take advantage of now is the ability to actually test on a production instance.
30:22
Now, some people may ask why would you do that?
30:25
And what I always like to say is that I've had clients in the past where they've tested in UAT, but they didn't realise in in production actually there was something missing, whether it was a network configuration or there was a hardware issue.
30:38
By testing using your actual production environment, you actually not only test the configuration and the data, but you actually test the hardware and infrastructure that you're usually going to move to as well.
30:50
Once the test is complete, you may have identified some changes that are required so that backup is restored, changes are completed, and you could repeat that process if necessary.
31:00
You might want to take another backup and do further testing.
31:03
I'm you could repeat that if required, but at this stage, now that we're in production, we'd hope that the very minimal changes occur.
31:11
So once that backup is restored, the CDU will then be reactivated to continue pulling data all the way until cuts over.
31:19
So like in the previous slides, at that stage you would choose to turn off your current production.
31:24
The CDU will synchronise those finer data changes and then you move forward into your mass environment.
31:32
I'm going to hand it over to Jeff to speak about hosting.
31:36
Great.
31:37
Yeah, thanks Bill.
31:39
Yeah, we've moved into a period of time where a lot of our customers are looking a lot closer at their hosting capabilities, right.
31:47
So and by hosting capabilities, really what I mean is the set up and the maintenance of IBM Maximum Application Suite, right.
31:56
So I think, you know, over the course of the next 5-10 minutes here, what I want to do is just walk through some considerations on why to pick a hosting provider, right?
32:08
You know, I think there's we, we have to recognise that there is a lot of different choices that we can take to deploy IBM Maximum applications, right?
32:16
So those choices have not necessarily changed, but there's a lot more considerations now.
32:23
Obviously with the technology changes, the platform change, there's a lot more to it I guess.
32:29
So what I wanted to do is talk about why cohesive hosting services and some of the considerations or implications around picking a hosting provider, OK.
32:40
I think the number one thing is to reduce operational complexity.
32:44
So the one thing that hosting or cohesive provides is all the infrastructure maintenance and the updates, right?
32:52
So what this allows you to do is it allows you to focus more on the core business activities.
32:57
We're going to take care of this for you, right?
33:00
Again, this is the single biggest hurdle when moving from Maximo 761 to IBM Maxima application Suite, right?
33:08
You know, historically what you see is you, you deploy Maximo, potentially this is on premise or maybe in a public cloud provider.
33:18
The deployment is significantly simpler, right?
33:21
You've maybe got a couple servers, you've got a Windows Server, you've got a Linux server and you install webs, your application server and it's deployed, right?
33:29
Obviously there's complexities there.
33:33
You know, the, the, the challenge here is the infrastructure components, right?
33:37
So red, the Red Hat Openshift platform, the middle, the, the tools that are required now for maximum application suite.
33:44
It's just a lot more challenging, right?
33:47
For those folks who've done some level of evaluation on what the deployment looks like, there's just a lot more parts here, right?
33:54
So the goal of a hosting provider is to reduce that operational complexity, right?
34:00
Cost efficiency.
34:02
So the cost of maintaining and updating infrastructure can add up.
34:05
That's that's for certain, especially revolving the people time with this, right?
34:10
So the setup time is quite, you know, there's quite a bit of time that is required when you set up IBM maximum Application Suite.
34:19
There's a lot of considerations, there's design time, how do you deploy it?
34:24
Do you have multiple open shift clusters?
34:26
What does this look like?
34:28
All of this sort of thing can add up, right?
34:31
Hosting solutions often provide a little bit better cost predictability, right?
34:36
And this can be more economic in the long run.
34:40
So, you know, there's a lot of uncertainty, I guess you know, when you're kind of putting your, your, your solution or I guess IBM maximum application speed on the cloud, perhaps you're looking at putting it into Azure, maybe you're looking at AWS or even within your own data centre hypervisor.
34:58
There's some things or I guess some cost understanding that, you know, isn't there's some things that you're not fully aware of until it's fully deployed, right.
35:07
So for example, there's some uncertainty around egress fees.
35:11
Egress fees, for example, is fully included as part of Cokies Clouds.
35:17
Scalability.
35:18
Scalability is another huge consideration when you're deploying IBM Maxima Application Suite.
35:24
How do you scale up or scale down, right?
35:28
So do you, is there services or do you have a processors or methodology to be able to add additional workloads or worker nodes to your Openshift clusters?
35:38
Can you pull them, put them up?
35:40
Can you bring them down?
35:42
What does that process look like?
35:43
So cohesive completely takes care of that for you.
35:46
We also offer a A level, so an offering level and then also a tier system which we put customers in and those customers can move between those offering levels and as well as the tier level.
35:58
So what we try to do is we look at what your organisation needs and we fit you into not only a proper offering level, level based on your requirements as well as tier level security and compliance.
36:13
This is a really important aspect, Coheed.
36:16
We've got robust security measures, of course, and compliance certificates in place.
36:22
These are often challenging, right?
36:24
So you know, is your organisation look at Hardening Openshift, the Openshift platform, right?
36:30
So there's a large number of efforts and, and, and tasks that are required to be able to provide that, right?
36:37
Do you have an SSL certificate process, right?
36:40
So a lot of things have changed from maximum 76 dot X to IBM mass that need to be taken into consideration, right.
36:49
So cohesive has a large number of accreditations through a third party auditors such as ISO 27,000 and one.
36:57
We also complete penetration testing and all of our hosted solutions and we're targeting November this year for our next audit or our next compliance audit.
37:10
And then lastly is expert support, right?
37:14
Does how are you going to support this system, right?
37:19
You know, there there's a lot more challenges when it comes to open shift, right?
37:24
Just from a technical perspective, you know, troubleshooting is completely different, right?
37:28
The log files are in different locations, right?
37:31
So cohesive hosting services and cohesive as a whole.
37:35
We provide expert support, ensuring that any issues are resolved quickly and effectively.
37:41
We do have a global cloud engineer team.
37:43
So we've got cloud engineers based all over the world.
37:47
We've got engineers in the United States, Canada, United Kingdom, Netherlands, Indonesia, so and then Brazil as well.
37:54
So we've got folks all over the the world ready to support you and and this goes back to really just de risking the upgrade, right.
38:03
We do have a, a process that we've done time and time again.
38:08
We do some automation, which I'll talk about on the next slide, which ultimately lowers your cost when you're deploying IBM Maximum Application Suite.
38:18
And it's really it just becomes more effective.
38:22
Next slide.
38:27
Yeah, So about our hosted services, we've got 3 offerings when it comes to cohesive cloud, IBM Maxima Application Suite.
38:35
They're simple and they're clear, and they're just different offering levels.
38:39
Typically what we do is we look at the exact requirements that you have and that typically is things like size, complexity, features that you require.
38:53
And then what we do is we look at what, what probably works best for you as an organisation and then you get fitted into a particular offering level.
39:01
So we've got cohesive cloud silver, we've got cohesive cloud gold and then platinum, OK, We do rapid deployments, right?
39:09
So what we, what we, our, our system and our approach is completely automated.
39:14
So we use something called Terraform.
39:17
So Terraform is our automation tool of choice.
39:21
We can deploy any three of our any one of our cohesive cloud levels, whether it's silver, gold or platinum, complete deployment in as little as one week.
39:33
OK.
39:33
So typically it takes a little bit less than that, but you know, for those that have gone through this process before, there's a few manual things that need to occur, right?
39:43
So entitlements is a big thing, right?
39:46
Which usually takes a couple days.
39:48
So there's, you know, there's requirements such as a Red Hat account, there's things like AIBM account.
39:53
We typically take care of that for our customers.
39:57
And then once we've got that all in place, we can use our automation to deploy the customers, right?
40:03
We provide full infrastructure managed services, so that is maintenance, patches, updates and then security ultimately on everything.
40:12
So everything that's required for IBM Max my application suite to be deployed.
40:18
We have a a maintenance schedule where we do certain activities.
40:25
So there's some activities that happen on a monthly basis.
40:28
There's some activities that happen on a quarterly basis and then there's a few things that happen on a yearly basis.
40:34
But ultimately we provide the full infrastructure managed services in cohesive clouds, single source.
40:43
So cohesive has a large number of offerings, right?
40:46
As Joe mentioned, Tyler's mentioned and Bill's has talked about as well.
40:51
We, we, we, we provide a, a, a number of different options, right?
40:55
So we're not just focused on hosting, we provide digital strategy, we do system integration, enterprise asset management and the data services as well.
41:04
So we're here to support you depending on what your organisational requirements are.
41:09
And then lastly is competitive pricing.
41:11
So we've, we've gone through the process of building out a very competitive model.
41:17
We've looked at other offerings such as, you know, the platform as a services in AWS and Azure and and we've built a model which allows us to be able to pass some of the savings off to you as an organisation because of the efficiencies that we've put in place such as automation.
41:38
Next slide and then just a few more details around our three offerings.
41:46
Of course, you know, please reach out to us.
41:48
We do have quite a bit of documentation on our offering levels.
41:53
I had mentioned this before, we've got cohesive Cloud Silver.
41:56
This is our entry level offering.
41:59
OK, So there is a different set of features and that are applicable to silver.
42:04
We do deploy Cohesive Cloud Silver architecturally slightly different, right.
42:09
So this allows us to be able to produce some of the infrastructure costs, right.
42:14
So cohesive cloud silver is deployed on single node open shift where cohesive cloud gold and platinum are deployed on the open shift distributed platform.
42:24
OK.
42:25
There is some nuances between cohesive cloud and gold and platinum, but this allows us to be able to ultimately scale up and scale down the overall topology of the deployment.
42:37
With platinum, we're we do give you the ability to have 4 nines, so 99.99 availability where gold we've we've really reduced this a little bit to 99.9 and have been able to pass off that, that cost savings to our customers, right.
43:02
Yeah, good.
43:05
Thank you, Jeff.
43:06
And then, so now we're going to talk increasing ROI.
43:09
What can you leverage out-of-the-box to increase your productivity and reliability from Maximo?
43:13
Next slide please.
43:16
So and then you can do one more click.
43:19
So this is we're going to be talking about manage and this is from the Institute of Asset Management.
43:23
It's an older model that I like to use because at a high level, this is your enterprise asset management process from define all the way through resource control and you bring it back in, you measure and assess and feed it back into your loop.
43:36
So manage has 20 modules, over 100 applications, scheduler and mobile are now included.
43:41
So you'll you'll see that in the next.
43:43
And can you click one more bill?
43:45
So I overlapped with a process map that simply says from your entire enterprise asset management process, manage can handle everything.
43:55
However, there's certain features that get massively enhanced if you have the application.
44:01
So that's your overall process map with what you can do from defining, assessing maintenance control, resource control, what overall application do you need?
44:12
And then one more click, please Bill, Bill.
44:15
And then I laid it on top to where you can see, OK from a define improvement, management control, resource control, that manage can handle everything from EAM perspective.
44:25
And then from mass dashboards, we didn't talk too much about that.
44:28
But then within all of mass, all the applications, the dashboards have been greatly increased.
44:34
Functionality is amazing.
44:36
And now they can be done not just by security group, but by actual users where I can log in and have different dashboards.
44:42
So everything feeds into manage and it all feeds in together, which I'll show you.
44:46
So this shows you that the that manage can handle EAM, but there's other applications that let you greatly enhance that.
44:54
Next slide, please.
44:58
So then from an ROI perspective, we have effectiveness plus efficiency equals ROI.
45:04
And then we have metrics within efficiency and metrics within effectiveness.
45:08
So we need 8 values to determine your benchmark for effectiveness.
45:14
We have we deal with proactive work, conditioning or triggering work based on condition indicators and then efficiency.
45:21
How efficient are we in our planning, our scheduling?
45:24
And then with our wrench time, are we maximising our wrench time?
45:27
Are we even tracking that?
45:29
So there are 8 values, replacement asset value, Simply put all your assets in your power plant, how much does it cost to replace all of them?
45:36
How much of your maintenance budget goes towards actual replacement and then inventory level?
45:42
How much do you carry in warehouse or warehouses?
45:44
And then your yearly maintenance wages, your personnel, how much other overall cost to to employ everyone?
45:52
And then how many, what's your number of availability from a maintenance personnel perspective?
45:58
How much of your work is proactive?
46:01
How much of your work is planned?
46:03
And then how much are you utilising your wrench time?
46:06
So that's those are the 8 areas we look at and then we determine based on ROI and then what can mass do from a managed perspective and then add-ons.
46:14
Next slide, please.
46:18
So for effectiveness, I laid out these are manage applications.
46:22
You can get creative with other ones to increase effectiveness.
46:25
But different applications I put here, they all feed into monitor, mobile assist, predict, visual inspection and health.
46:33
But these are your out-of-the-box applications that we can use to track and improve our effectiveness for Manage.
46:39
And then on the right side is these are the out of out-of-the-box applications for efficiency.
46:44
And then everything feeds into the applications.
46:46
I put supply chain because there's multiple applications.
46:49
So we have different applications just out-of-the-box that we can increase our effectiveness and our efficiency.
46:55
The next slide please.
47:00
So this is a potential of failure model.
47:02
So we have proactive, preventative and reactive.
47:06
So we have is from a point of detection and that's what I talked about from monitor, one of the applications.
47:11
I really like that you can see upfront, hey, there's been an anomaly, whether it's a vibration analysis, whatever it may be that there's been a point of detection and we've we can become proactive, we can now plan and schedule.
47:25
Do we need to order that asset?
47:26
Do we need appropriate lead time?
47:28
Where do we need to bring it in?
47:29
How much time do we have from an efficiency standpoint?
47:32
And then the normal cost for being proactive is 1X1X.
47:35
And I put a dollar sign, it's regardless of the currency, it's usually 1X.
47:40
So what is the cost to just align, lubricate, any sort of calibration needed and then your proper time for planning and scheduling, make sure you have availability resources and then if you need to order the part.
47:53
So it just decreases your cost immensely.
47:56
And then if you're preventative, then you're running it down, you're running your asset through downtime, you're having increased wear and tear.
48:03
You could have downstream components potentially harmed.
48:08
And then you have potential costs for requisition based on lead times.
48:11
And do you have availability?
48:13
Do you need to ship it quicker?
48:15
So preventative maintenance is still cheaper than being reactive, but it's much more expensive than proactive.
48:22
And then if you're reactive, asset failure occurs, other components have been harmed.
48:28
This is minimum 10X of overall cost of being proactive compared to reactive.
48:33
There's very high percentage for other components to fail that you're doing work on downtime and not on offshifts or outage and you're losing overall production in the plant.
48:44
And then next, please.
48:49
So first you get smart, then you get quick.
48:51
It's what my boss always says.
48:53
It's one of our our key slogans.
48:55
And when it comes to maintenance, some people will will the ball kept getting fast.
49:00
What we really mean is you become more effective and efficient to where you're not redoing work, you're getting it upfront.
49:06
So first you got to understand everything.
49:08
So what I did was I highlighted the cost savings and the potential savings.
49:12
And this is from an improvement of getting into becoming more proactive.
49:15
We have two targets there.
49:17
That's why I have two lines for cost savings.
49:19
So what is your current amount of work that's proactive and what is your target to get to become more proactive instead of reactive?
49:27
And those are your cost savings.
49:29
And the same thing with the reduction in parts usage.
49:31
Do you need to order overnight shipment?
49:34
How much do you have waiting in the back because you're being more reactive, you're holding inventory.
49:38
So we have both, both savings whether from the current to get to a target percentage of being proactive work and with efficiency, same with potential savings whether or not you're just planning and scheduling, but you're actually optimising your wrench time.
49:54
So those are your main, main attributes.
49:56
We're looking at increase your wrench time to where if you have 2000 maintenance hours for the week and you have 1500 planned work to do, did you finish all that?
50:06
And then if not, why?
50:07
And then what'd you do with the other 500 hours?
50:09
So we're looking at maximising wrench time, decreasing your inventory level because you're you're triggering work based on conditions to where you're getting your asset prior to proactively instead of reactively and then returning work from preventative and reactive into more proactive.
50:27
Next slide, please.
50:31
And then this is the actual ROI.
50:32
This comes from data from a client that we've had before.
50:37
This is our actual real numbers that we've used.
50:40
We do conservative ROI and then we do it from a low maturity, average good and world class.
50:46
We do four different levels.
50:47
So we say where are you currently based on proactive word, inventory level, maintenance cost, all of that.
50:53
Where are you currently from a maturity standpoint and where do you want to get and what does it take to get there?
50:58
And then we show if you get from low to average or average to good, there's your savings.
51:04
So for this, you're being and having improvements in effectiveness and efficiency that led to a savings of almost 3 million in labour and over 5 million in material costs.
51:14
So over $8 million are saved.
51:16
After five years, the client actually came back to us and said you saved us more than this.
51:22
So we know we do a conservative estimate here, but we saved them well over 5 million, $8 million in five years.
51:29
And then with the estimated costs and the ROI metrics, the ROI we showed on three years was 10.53%.
51:38
So we have the total overall cost.
51:39
And what we do is we estimate the software cost and this can be broken down into months.
51:44
If the project isn't multiple years and it's just one year, we can break this down by months.
51:49
But what we show is we can get you more effectiveness, we can get you more efficiency.
51:55
And when that happens, this is how much you save.
51:58
So we use what's out-of-the-box for Maximo within Manage to get you more proactive and there's applications that help you become much more proactive.
52:07
So that's why I say we can still leverage what we have out-of-the-box with Manage, but with other with monitor and AI, we can get you from that 35% proactive work into 85% proactive work.
52:19
So regardless of what you purchase, you're going to make a higher ROI becoming more proactive.
52:25
The next slide, please.
52:28
And then this goes back to what I said at the beginning, just to reinforce, we are offering a free mass upgrade evaluation.
52:34
So where are you?
52:35
We want to reduce the risk.
52:36
We want to increase your confidence, improve the readiness, reliability and then actually show you based on software what we can do with your processes.
52:44
We could actually optimise your ROI.
52:47
That's it for me.
52:49
Thank you.
52:49
And then off to you, Elky.
52:52
Thanks, Tyler, and thank you all for that informative session.
52:55
We have time for some questions from the chat box.
52:58
So first question, our organisations looking at a cloud provider, Openshift managed services.
53:04
Can you give me some insight into those offerings?
53:08
Yeah, I can take that.
53:11
Yeah, so there is.
53:14
So I think what you're referring to is the Red Hat Openshift managed service providers on both AWS and Azure.
53:23
So there's there's something called Aro and then there's also something called Roza.
53:29
So those are the two platform as a service solutions, OK, that both AWS and Azure provide.
53:37
Yeah.
53:37
So this is like this kind of goes back to the there's lots of different, you know, there's, there's lots of different ways or I guess options that an organisation can deploy IBM maximum applications, right?
53:51
So, you know, it is a viable solution for sure, obviously.
53:56
So it does provide you an open shift container platform on the public cloud provider.
54:03
You know, one of the common myths that I find is when I'm having conversations with customers around these platform as a service solutions is that Red Hat open shift skills or administration or people are not necessarily required.
54:19
OK.
54:20
You know, I think that's really a myth, especially when it called comes to IBM Maxima application suite where when you're actually deploying the application level part of the solution, you actually need significant open shift skills, right.
54:35
So I think there's, there's real considerations there around those offerings.
54:41
OK, so, and, and the, the second part of this I think is an important part is the responsibility matrix, right?
54:49
So you know, something like cohesive cloud, ultimately we take care of everything for you, right?
54:55
So from the network all the way to the application level, this is all going to be managed, set up, managed by cohesive cloud engineers, completely managed for you.
55:06
Where when you start looking at some of these other providers such as Arrow or Rosa, you know, there is a, there is a difference, you know, in responsibility, right?
55:17
So of course the public cloud providers gonna have certain levels of responsibilities versus what you're gonna be responsible for on the application level.
55:26
OK, Certainly feel free to reach out to us.
55:29
This is a fairly large topic that we've been finding that we've been having with our customers, right?
55:35
But again, review the responsibilities matrix, make sure that you understand the roles and responsibilities of all the providers that you're looking at, right?
55:45
So that's my recommendation.
55:47
And of course, there's, there's lots of information out there that we have on that.
55:51
Feel free to reach out to us if you want more.
55:54
Thank you, Jeff, If there are no other questions, we can then conclude our webinar.
55:59
I want to thank again our speakers for joining us today as well as your attendees for listening today.
56:05
We have additional information available on our website in the form of blog posts, articles, case studies, and even brochures.
56:11
If you want to really reach out and discuss your strategic path forward, please do and you can also reach out via our website.
56:18
That is a wrap for today's webinar.
56:21
Tyler, Joe, Bull and Jeff, I want to thank you again and I wish everyone a very great day.
56:28
Thanks, everybody.
56:29
Bye.
Embracing Asset Management and Optimization with a MAS Upgrade
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Achieving a MASsive Step Change Embracing Asset Management & Asset Optimization
0:04
Good morning, Good afternoon.
0:06
My name is Elke Hellberg.
0:07
I am part of the Cohesive marketing team.
0:09
I will be assisting the team today with the webinar as moderator.
0:13
We will give it another 30 to 60 seconds to allow all the attendees to join us on this call.
0:58
Great, I think we can start.
0:59
Hi everyone and welcome to our webinar on achieving a massive step change embracing asset management and asset optimization.
1:07
Before we start, I would just like to highlight some administrative tasks.
1:11
Note that this webinar will be recorded and distributed post webinar.
1:14
All the attendees are currently set to listen only mode, but feel free to post any questions or comments in the chat or question box.
1:21
We will address these at the end of the webinar.
1:24
Should you have any technical questions or problems, please log it with the Go to web or not technical team in the form of a question mark or help section on the panel itself.
1:33
Right.
1:34
I will be handing over to our host in a bit, but let me do an introduction of cohesive and I'll speak speakers first.
1:40
Working across all stages of the life cycle, Cohesive helps owner operators embed digital ways of working that Dr operational efficiency and enhanced asset performance.
1:50
Cohesive draws on Cortex solutions to support its clients.
1:54
These solutions include Bentleys Infrastructure, Cloud I Twin and IBM Maxima, for which Cohesive is the largest implementer.
2:01
Next our speakers for today are David Armstrong, Senior Director in Advisory Services for the Americas, and Andrew Carrie, our Enterprise Asset Management Director for EMEA.
2:11
In this webinar, you will learn how to differentiate between asset management and asset optimization, understand their unique benefits, and discover how integrating these concepts can transform your operations.
2:23
Explore the most effective asset management strategies for your organisation and find out why IBA Maximal Application Suite is a transformative tool for your operations.
2:33
It will cover the key differences between asset management and asset optimization.
2:37
Benefits of integrated asset management, effective strategies for asset management and optimization, cutting edge tools and technologies and have a look into the real world case studies.
2:48
So without further ado, let's dive in and hand over to our host for today.
2:52
Andrew, over to you.
2:56
Thank you Elke for the kind introduction.
2:59
Good morning, good afternoon, good evening wherever you may be.
3:03
I wanted to start the presentation by talking about the problem statement that we're trying to solve.
3:11
And that is why is the maximum application suite different from legacy systems.
3:19
So let's consider this as a shifting landscape.
3:24
So Bardantix is an independent research and advisory firm that acts as an essential thought leader for world enhancing innovation.
3:33
They shape markets, They find the technologies of tomorrow in future proof businesses, and in 2024 Berdantex released a green quadrant for Enterprise Asset Management software.
3:46
What the research stated is that the market is shifting dramatically with technologies such as generative AI playing a key role alongside the convergence of enterprise Asset Management or EAM asset Performance management, APM and reliability Centre maintenance or RCM into a single holistic offering.
4:11
When we apply this to maximal application suite, we see that it's made-up of these three major components.
4:20
So mass, as we now refer to it, is much more than just an EAM solution.
4:26
Whereas previously EAM was considered the leading solution over traditional CMMS offerings, today is just one part of the whole offering that is now referred to as Asset Life Cycle Management or ALM for short.
4:43
So let's have a look in a bit more detail of what the application suite actually offers.
4:48
So, Maximum Application Suite is a collection of applications designed and integrated to drive unique value for asset management, performance and reliability.
4:59
Each application is designed to solve real business problems.
5:03
However, whilst it is an integrated solution, clients can still choose what applications they deploy and when.
5:11
So if we start on the top left with Maximal Manage, this is a fully integrated enterprise asset management application harnessing advanced analytics and Internet of Things data to help clients enhance operational availability, extend asset life cycles and optimise overall performance.
5:29
This is very much the maximal that we know today.
5:33
However, looking further afield within the suite, we'll do a quick introduction to some of the other applications.
5:39
So maximal visual inspection introduces visual AI models into quality inspection processes, empowering clients to detect and correct errors before they escalate into costly rework.
5:52
Simultaneously, Maximal Monitor Health and Predict, collectively known as Asset Performance Management, integrates artificial intelligence into assets on the production floor.
6:04
This powerful stack of applications enables clients to predict potential asset failures with a very high degree of accuracy, allowing them to address issues proactively and avoiding costly downtime.
6:18
Maximum Mobile and Maximum Assist together bridge the gap in technical expertise, significantly improving the success rate of first time repairs by providing technicians with on demand resources.
6:31
It's akin to having a vast library of technicians fingertips with the right manual, always accessible at the right time, complete with critical information already highlighted for you.
6:42
And then the recent addition of reliability strategies provides a dedicated reliability centred set of features that further enhances equipment availability, reduces asset replacement frequency, lowers maintenance costs and pre emptively prevents failures, promoting more efficient and cost effective operations.
7:03
The problem statement is that without adequate planning, knowledge and learning across the broader subject areas of asset management and asset optimization, organisations will fail to generate real value from the application suite as a whole.
7:19
They'll either discover that they do not move beyond maximum manage highlighted in the top left to any date great degree, or attempts will be made to leverage these tools in an ineffective manner.
7:32
This is a problem not just for organisations, but for also certain maximal providers who do not yet have the agnostic knowledge and depth across these subject areas.
7:46
So in order to overcome that problem statement today we want to introduce you to two dedicated areas of knowledge, that is asset management and asset optimization.
7:58
So I'm going to continue with the first aspect, which is asset management.
8:03
And to begin with, we're just going to build some foundational knowledge for what we mean by this.
8:08
So what do we mean when we talk about asset management and why is this important to your upgrade?
8:16
So please allow me to build some background and I'd like to introduce the the three key organisations within the asset management sphere.
8:25
So starting from the left hand side, we have ISO or the International Organisation for Standardisation.
8:34
ISO is a worldwide federation of national standards bodies.
8:38
ISO develops and publishes international standards for various fields ensuring quality, safety and efficiency.
8:47
ISO 55,000 and one defines the requirements for a management system specifically for asset management, which helps organisations manage their their assets much more effectively.
9:01
The ISO standards are developed through technical committees that include representatives from various member bodies across the globe.
9:08
Therefore, this is not AUK centric or a European centric way of working.
9:13
It's it's a global solution.
9:17
In the middle we have the Global Forum on Maintenance and Asset Management or GF MAM for sure.
9:24
GF MAM is an association of professional maintenance and asset management societies.
9:29
It was established to promote and develop the maintenance and asset management professions by collaborating on knowledge, standards and practises across the globe.
9:38
It's a nonprofit organisation and it's members include various professional bodies from around the world such as the Asset Management Council in Australia, the European Federation of National Maintenance Societies and the Institute of Asset Management in the UK.
9:52
And then finally, the third component we have the Institute of Asset Management itself.
9:58
This is a professional body for those involved in the acquisition, operation and care of assets, particularly critical infrastructure.
10:07
The IAM provides qualifications, training and resources to support asset management professionals.
10:13
Cohesive are a corporate member of the Institute of Asset Management as well as being endorsed assessors for ISO 55,000 and One.
10:22
So how do these different organisations combine to offer the landscape that we refer to as asset management?
10:30
So let's start with an actual definition then.
10:33
So what is asset management?
10:36
Asset management is a systematic process of developing, operating, maintaining, upgrading and then finally disposing of assets in the most cost effective manner, including all costs, risks and performance attributes.
10:53
In the context of ISO 55,000, which is that ISO standard that covers asset management, the term asset portfolio refers to the complete range of assets that an organisation manages.
11:07
This includes all assets that are planned for acquisition, those that are currently in service and no schedule for disposal over a specific planning period.
11:18
The asset portfolio can and does include both physical and digital assets.
11:27
Next is the asset management system.
11:30
So the system is a combination of specific interacting elements that provide direction, alignment, coordination, control and continual improvement in the effective management of assets.
11:45
In other words, as a set of components whose combined effect will deliver performance and assurance of competent asset management practises.
11:55
Now it's worth stressing that this is not solely a software platform such as Maximo or SAP, but does include the integrated software solutions used as part of a wider system, as well as the processes, procedures, and the cultural ways of working that set atop such solutions.
12:12
Now the asset management system is helping to support the wider, broader context of asset management, which is typically outlined by those societies such as GF MAM.
12:27
The asset management layer is the landscape of asset management itself, which covers critical areas such as policy, asset management, strategy, strategic planning and asset information.
12:39
The latest publications covers 40 distinct subjects across 10 subject areas.
12:46
And then finally, to complete the picture, we have the actual management of the organisation itself because we should never lose sight of the fact that the reason why we perform asset management and the reason why we have these systems in place is to ultimately deliver the strategies and objectives of the organisation itself.
13:06
So when we take that diagram and we apply it to those organisations, what we see is that the bodies such as GFMAM cater for that wider landscape of asset management and the ISO standards, most specifically the the suite, the 55,000 suite, is the asset management system itself.
13:25
And then bodies such as the Institute of Asset Management tie these things together.
13:33
So if we're going to summarise asset management into really simple terms, we talk about the four fundamentals, the four pillars of asset management.
13:43
So first is value.
13:45
So this means that assets such as buildings, machinery or even software should be providing benefits to the organisation and its stakeholders.
13:55
Think of this as getting the most out of the assets as you can.
13:59
The next is alignment.
14:01
This is about making sure that the way that we manage our assets matches the overall goals of the organisation.
14:08
For example, if the company aims to be environmentally friendly, your asset management practises should support that by using sustainable practises.
14:16
A really simple example.
14:18
This cannot be done without good leadership.
14:21
Good leadership and a positive workplace culture are absolutely crucial to asset management.
14:26
Leaders need to guide and motivate everyone involved in managing assets to ensure that they're working towards the same goals and making the best decisions.
14:34
Asset management is not a single department within an organisation.
14:38
It should be thought of as a broad, holistic way of working, similar to health and safety practises today.
14:44
And then the final pillar is assurance.
14:49
This pillar is about confidence and reliability.
14:52
It means having processes in place to ensure that assets will perform as expected and meet the required standards.
14:59
It's like having a guarantee that everything will work as it should.
15:04
That is a very, very broad, high level one O 1 of asset management.
15:10
At this point, I'd like to introduce a participant pool around asset management.
15:15
So Elka, can you please execute that pool for me, please?
15:24
Now, if people could be so kind as to review the question and respond with your answers in kind, we will look to to address that towards the end of the end of the webinar.
15:37
We'll give everyone 2030 seconds to respond and then we'll then we'll move on.
16:06
Are you happy for us to move on, uncle?
16:08
Yeah, in Vietnam.
16:10
Excellent.
16:11
Thank you.
16:12
Excellent.
16:13
With that in mind, I'd like to hand over to my colleague David, and David's going to talk us through asset optimization.
16:20
David.
16:21
Hi, folks.
16:22
So let's talk about asset optimization.
16:25
What is it and why do we need to be aware of it for your mass environment or your future mass environment?
16:31
Next slide, please.
16:38
So I'm going to introduce an the asset management process.
16:42
And in in many ways what we're talking about is it's no longer an IT problem.
16:48
And the reason for that is the technological capability is as outpaced organisational structures.
16:54
And in many ways, we find that the the people of the business are often working in old silos begging for a unified process to help them through their day-to-day activities.
17:05
We just saw that in the poll where we had a lack of real time data.
17:10
Often we were looking for real time data, but we don't have a frame of reference or any systems to compare that against.
17:16
So they're often just working in a vacuums fighting the fires from real time data.
17:21
But that's not really the what we would call best in class asset management or asset optimization.
17:30
So, So what when I go through this, I talk about a three legged stool here, I talk about a business process, I talk about a programmatic ROI and I talk about an assessment methodology.
17:42
And it's really defining who does what, when and where, right.
17:45
And the reason why we need to understand that is there's a massive component of cultural change when we adopt these programmes.
17:52
So here in front of me, I'm going to, I'm going to walk through a process on how we put all those systems together in a systems or systems approach.
18:02
So at the end of the day, what we're looking for is we're looking for, you know, a longer term, you know, holistic solution that's going to allow us to analyse and optimise our business for the effectiveness and efficiency gains that we often look forward to towards within a mass roll out.
18:20
So we'll just build on this slide here.
18:24
So one of the first things that we need is we need really smart or smarter measures and goals and KPIs.
18:31
And this is typically being done in manage in the within the IBM product and it's certainly done today within the manage environment.
18:39
What we're what we're doing there is we're putting more leading KPIs using the tiles within mass to really put tangible goals, objective goals that people can work against from a process point of view, not necessarily the lagging KPIs that, you know, can they really affect that as we move forward?
19:00
And next slide.
19:01
Yeah.
19:02
So that also means that we have to further develop the taxonomy, the the hierarchy, right, to provide a, a deeper approach.
19:10
So with any mass implementation, there's often, there's often it's the time to pause and say, do we have the right hierarchy in place?
19:17
Is it deep enough to leverage reliability strategies?
19:21
Is it deep enough to to to get the most out of the asset performance management container which is now built within the mass ecosystem next please?
19:35
Yeah.
19:36
And then what that allows us to do as we move forward is instead of just being able to associate a level of risk to those those specific assets, it allows us to build a frame of reference.
19:51
So in the future we can start to do what we call dynamic risk modelling.
19:55
Now why why do we talk about dynamic risk modelling as opposed to that, that single instance or where we've had evaluated the risk or criticality associated an asset.
20:05
We know that as the business changes, we need to constantly re evaluate based on based on the organisational needs, based on the business needs if that level of risk is changing.
20:16
Based on the conditions of the equipment, based on the conditions of the economy, based on the on, on the needs of potentially what we're selling outwardly to as a result of our asset management programmes.
20:32
OK.
20:33
So that key area of focus is a key component of the of the of mass manage.
20:42
OK.
20:42
Now I'm going to talk about some of the some of the additional areas from a systems integration approach that we that we often see have to add into the into the into the mass discussion, right.
20:56
So as we know IBM has provided the reliability strategies which brings the RCM component into into into the discussion.
21:06
Now that that work there is often very much focused on the the rotating equipment and the balance of plant assets we met so that that repository is there to pull information in.
21:20
So we can create more, far more intelligence to make better decisions within the the mass ecosystem.
21:28
But we may also have have the ability to pull in or ingest information from legacy Fmeas and PM optimization programmes depending on the criticality.
21:40
We look at which which, which the what's the right strategy to to bring this level of data into the solution, that framework that's going to help us augment our decisions.
21:57
So next we talked about what about all those other elements of the business.
22:00
So in certain in certain businesses, we have to talk about integrity based maintenance or mechanical integrity, you know, your pressure vessels and your piping.
22:10
Where does all that information come in?
22:13
Because that could be a critical key safety feature of the programme and that has to be thought about bringing that data in to the system.
22:21
So again, we augment that level of decision support.
22:27
And then and then at the end of this strategy, I'll talk about the instrument and instrumentation safety criticality systems.
22:37
So your safety intermittent systems, your safety instrument instrumented levels, which also provides that that level of knowledge and puts that Swiss cheese model in place.
22:47
So we can understand when protective systems may be at risk because there's barriers or or ongoing maintenance in place and that has to be part of that decision framework next please.
23:02
OK.
23:03
So what we've just described there is what we call this the strategy development phase where where we expect to extract and digitise all that information, which would typically or normally in the past be found in an in an in a disparate asset performance management system.
23:23
Now we have the ability to contain and bring all that information into the mass environment.
23:33
Now again that could be those systems exist within IBM or as a digital integration exercise we bring that information in from point solutions.
23:45
So this is about removing those silos that we talked about is asset optimization requires far more information coming from multiple systems.
23:54
So we have all that information available.
23:56
So then we can push that information into the other applications or modules of the of the mass environment, OK.
24:10
And we're building the model as we go here.
24:12
Once we have that framework, then we can move in into into the the managed, managed and mobile solutions where we can really move into proactive maintenance.
24:23
We've got full asset health information.
24:26
So the assets are now able to tell us when is the right time to do tasks within our typical work management system, You know, when do we launch corrective work orders to execute against that, against that work.
24:41
And also from a mobile perspective, you know, what's the production information, the generation information that complements those discussions, right.
24:51
Again, it's about building that broader framework of information which allows us to really benefit from the from the broader math solution, the all-encompassing solution.
25:03
So that's the domain of execution.
25:05
Now I want to talk about, you know, some of those other newer features which are coming into the product, right?
25:11
We've always been able to connect to and consolidate readings and events and alarms and associate work order costs and, and dates and events and why it happened.
25:23
So we can look at, you know, what are the sources of losses and all the rest of those good things.
25:29
But what the next thing I want to talk about is through this interconnected system, we have the ability to now code those individual events, right and, and create opportunity IDs against those individual events.
25:42
And why is that important?
25:44
Because what we're doing is we're creating a framework of reference that we're can use for the purpose of analytics, right?
25:51
In the, in the old days, we used to do reactive maintenance and you know, many maintenance and reliability crews were there with their golden capes on and they would jump in and go and fix events.
26:02
Now the game the angle is about to predict from those events.
26:06
So what we need to do is create a clean population of data, right, based on the number of events, so we can start to forecast when those when those assets need help.
26:17
Essentially the assets tell us when it's are telling us when it's time to do something.
26:23
But the real goal is to move further in advance and have that forward-looking view.
26:28
And so by coding these events, we can start to, we can start to rationalise and use statistical control to understand when these events may happen in the future.
26:38
So we can get ahead of those events.
26:42
Now obviously what I'm talking about is the is the monitor and health applications within the mass suite, right?
26:49
And this is where we really get into the optimization that has not been available in mass before, right?
26:57
So when I talk about coding those events and and pulling those alarms from reliability solutions, it allows us to move into this path of optimization.
27:08
So asset optimization, it allows us to truly start to predict, to use predictive analytics to understand how we can improve our efficiency and effectiveness of our assets.
27:19
And then obviously from those events, we can also look at that defect elimination and root cause analysis properly.
27:27
Root cause analysis properly often means going right back to those initial failure modes, right?
27:32
The contributory agents which caused those failures in the 1st place.
27:37
And that comes out of those reliability strategies, right?
27:41
The other piece that I'm going to introduce here is this has to be a circular effect where we're constantly going back and reevaluating the strategy effectiveness, right?
27:52
And this is where we come back to that risk modelling so we can understand and put the right level of risk or criticality on the assets which are causing the most grief to the organisation.
28:03
Now the final piece of this puzzle is the AI piece, the artificial intelligence piece, which is is built, is built by having a complete and holistic model, right?
28:15
It's very tough to predict based on information coming in unless you've got that frame of reference right.
28:23
We need to understand those individual events, those those those coded events that are associated with those individual contributiation agents that come out of reliability strategies from all these individual point solutions, understand how they combine to forecast when an event is going to happen.
28:43
Now, this is truly predictive in nature where you're at.
28:48
Once you have the ingredients, you can take that recipe and create algorithms around those independent events so you can start to forecast with some level of confidence and define exactly when you need to put the right strategy in place to get in it to get ahead of those reactive situations.
29:09
Now what you're seeing here, this construct should have, I'm hoping, we're hoping that you're able to see how mass is that all inclusive solution that allows that has got this framework where, where, where IBM has built us to, to, to put the the full solution together, but also incorporate your disparate point solutions to print bring that information into the into the solution.
29:34
OK, next slide, please.
29:41
Excellent, David, thank you very much.
29:44
So what we've done there is we've introduced 2 important concepts.
29:49
If we think of asset management as being like the macro view, the of the activities that an organisation would undertake.
29:55
And then the asset optimization piece that David has very eloquently talked us through is, is almost like the micro view.
30:02
That's the detailed view of the process that you can implement within your organisation, which is completely agnostic of any software solutions.
30:12
What we'd like to talk through now is the key strategies and tools that organisations can actually utilise in order to take advantage of things such as asset management and asset optimization.
30:24
So I would like to start by introducing you to the Cohesive Asset Management Development Framework.
30:31
This framework is a repeatable framework supported by a number of artefacts, tools and documentation that we can utilise with organisations in order to implement processes that could either allow you to align to the ISO standards or even to go on and proceed to become accredited against those ISO standards.
30:54
So if we build this diagram up in stages, I will reiterate the fact that asset management is all about the strategies and objectives of the organisation.
31:07
So we would always be looking to start to understand what is the North star that is driving your business and therefore the asset management strategy should then be clearly aligned to that.
31:20
So from a strategic level we're typically looking to work with organisations to help improve or often create for the first time 2 important documents.
31:32
We talk about the asset management policy which is really the ways of working.
31:37
It's the non negotiables of how your organisation approaches asset management and then the Strategic Asset Management Plan which we often refer to as the SAP.
31:46
Now the strategic Asset Management plan rolls right through the organisation and it is a broad document or suite of documents that is there to better enable decision making within your organisation.
32:03
Now this could be covering things such as your operations and maintenance management activities, your CapEx and OpEx activities and also how you manage risk and opportunity.
32:13
Now a strategy document is only one part of the jigsaw.
32:18
Planning strategy and executing strategy are two separate things and therefore often we will support organisations with a supporting execution plan in order to help actually roll out that strategy as it as it is coming out of that sump.
32:35
That plan is often one or more asset management plans.
32:40
And if you remember the diagram we showed earlier, the asset management plans are associated with your asset portfolio and that asset portfolio can both be physical assets and logical or digital assets and therefore your asset management plans will often reflect this.
33:00
The purpose of those asset management plans is to support the asset life cycle activities throughout the entire life cycle for your portfolio.
33:11
So this is from acquisition right through to disposal.
33:14
And as I said, this can cover both physical and digital assets.
33:20
Now none of this can be delivered without having competent resources that are trained in asset management practises that can execute against your plans and therefore the human capital or your resource pool is absolutely paramount to successful delivery for asset management.
33:38
Then on the other side, we have the asset management enablers.
33:41
This is often the software that is used by organisations to support the overall activities such as maximum ACP, finance packages, document management systems, etcetera.
33:56
Underpinning all of this is your data configuration and information management activities.
34:02
This is absolutely paramount and therefore we're seeing more and more now how asset information strategy is tied into physical asset management strategy.
34:13
And then any good framework will always have performance evaluation improvement activities embedded into the processes.
34:22
So therefore you are on this continuous cycle of improvement or in asset management terms plan, do check ACT terminology, looking at those asset management enablers in a bit more detail.
34:35
You can see things such as CMMS systems, asset performance management, AIP, asset investment planning, focus improvement initiatives and condition monitoring.
34:45
And the important message is that when you are looking to perform an upgrade or a reimplementation of a solution, it doesn't matter whether that's moving to MASS or ACP.
34:57
It is one part of a bigger jigsaw.
35:00
And therefore we're seeing organisations that are great gaining greater benefit by implementing a good asset management strategy to support the software rather than the other way around.
35:13
Strategy #2 takes us into a bit more detail, David.
35:18
Yes.
35:18
So it's, there's a, there's a saying that you know, your culture can eat your strategy for lunch every single day.
35:27
So you can have the most robust asset management strategy, but without a map on how to take that strategy down to the, down to the people level.
35:37
We often see that as a, as a, as a major blocker in, in these rollouts.
35:43
So one of the cohesive differentiators is we've, we've already created those maps for you.
35:49
We've defined who does what, when and where both in an agnostic manner for, against best practise, best current practises from the IMI AM and GMF AM and so on and so forth.
36:03
We've, we've, we've built in all those leading metrics so we can show those in, in the tiles within mass, but we've also put it, we've also built in the, the language of, of Maximo manage as well, so people can recognise what best practise looks like.
36:20
But within the, in the language, a Maximo as a means to to get over that hurdle or get over that delta.
36:30
If you can show people, you know, what they do, when they, when they should do it, how they interact with the other parts of the business and what the value of that, we find that adoption takes a whole other level.
36:43
And that's why this is really important.
36:45
Next slide please, Andrew.
36:49
So what we've what we've been able to do is create 75 tasks based business process maps.
36:54
Again, these are already created.
36:56
So this spider diagram talks about all the interconnected workflows.
37:01
So what we found is 375 connected workflows, we might be a little above that now, right?
37:08
Putting all those combinations together again so people can understand how they interact with the system and why it's important.
37:16
And then you can hold people objectively accountable against the process and not subjectively against a, you know, a job description.
37:26
And in fact, I would suggest that the objective business processes should become the job description and we become competent against that.
37:35
Now, if I take this to the next level, what we've, what we've also been able to do is create a database in order to, to build these process maps.
37:43
So there's over 1200 plus nodes and agents and attribution levels.
37:48
Now why is that important?
37:50
Because we can actually leverage that database for generative AI agent based modelling in the future, right?
37:57
So it will be your information attached to best practise and that's one of the difference that cohesive brings to market.
38:05
We've leveraging our many, many years of asset performance management or even greater amount of years in enterprise asset management combining together and putting that grey beard in a box so to speak, right.
38:19
All so you so you don't have to recreate the wheel.
38:29
Excellent.
38:29
Thank you, David.
38:30
And then finally, the third strategy that we'd like to introduce to you is essentially a free upgrade evaluation that Cohesive are offering.
38:40
We recognise that some of this stuff can be quite overwhelming when you see it first time round and knowing where to start can actually be one of the biggest challenges and therefore a Cohesive.
38:52
We've introduced the evaluation process where we can walk you through stage by stage looking at the things that we've talked about today as well as other challenges that may reside outside what we've discussed today.
39:07
What we see with the organisations that take us up on the evaluation, they're primarily looking to reduce risk in terms of their upgrade, about whether they should move or whether they should stay, increased confidence and where that upgrade will take them, ensuring that they're ready for the move.
39:23
And that's but in two ways.
39:25
It's ensuring that not only Are you ready for mass, but the mass is ready for your organisation.
39:30
And then obviously once you get there, we can then take advantage of all of those great tools that reside within the applications.
39:37
So the QR code there will allow you to link into our website where you can quickly register.
39:44
And from there we can we can move forward in a really easy fashion.
39:52
Elko, could you please present the second question for the audience?
40:01
So this is quite interesting there.
40:03
So how mature is your current asset management strategy, assuming that you have one, we'll give you 30 seconds to 45 seconds to answer.
40:24
Yeah, so quite interesting there.
40:26
Results coming in there where we see that kind of aligned with our own learnings, which is that we're seeing organisations now becoming more aware.
40:35
Of things such as asset management strategies, looking to develop them, but they're not yet very well established.
40:43
But the first start is making sure that you know that awareness piece.
40:47
So that's fantastic.
40:50
OK, So to bring this off then we've talked a lot of theory.
40:54
We've talked a lot about what we can do and we always think it's important to talk about where we have done this and therefore we'd like to introduce you to some case studies where we've put these things into practise.
41:08
So the first case study that I'd like to introduce is an organisation called Energy A Group.
41:14
So Energy A Group consists of three businesses which is flexible generation, renewables and customer solutions.
41:23
Today Energy A supply approximately 17% of Ireland's total energy and around 21% of wind power for for Ireland.
41:33
To date, over a billion EUR have been invested in the energy market, with a further 3 billion in renewables by 20-30.
41:42
This is driving the transition to a net 0 carbon future and helping Ireland meet its climate action targets.
41:50
The flexible generation plant called Hunts Town Power Plant is there to generate energy that wind cannot yet meet.
41:59
It's an intermittent energy source and it supports the renewable energy generation.
42:07
It's currently 2 combined cycle gas turbine plants generating around 300, sorry, 700, and just shy of 750 megawatts of energy on the renewable site.
42:20
They're generating just over 300 megawatts.
42:22
And this is wholly owned on shore across Ireland with a total of 15 onshore sites.
42:33
So Energy already had a fairly mature enterprise asset management system in place, but what they recognised was that in order to maximise the value that that system can bring, they wanted to look at the aspects outside of the software.
42:50
So working with Cohesive, we deployed the Cohesive asset management framework that we introduced earlier alongside the ISO 55,000 standards.
43:03
And from there we performed what we call a maturity assessment.
43:08
And the maturity assessment is a discovery suite of questions where we perform desktop studies and interview stakeholders to analyse the maturity or the competency against the benchmark of the ISO asset management standards.
43:26
From there, we were able to generate in maturity scale or a maturity score, which then resulted in a maturity assessment and gap analysis documentation, which then went on to make a series of recommendations.
43:42
Now those recommendations were free for NRGR to then take up and do what they wished with.
43:48
There was no further commitment that they had to be delivered by adhesive or tied into us in any way.
43:55
However, from the recommendations and from the way of working, Energy were really, really keen to basically move up that maturity scale for their asset management practises.
44:08
And from there, we then moved into the ISO 55,000 and one accreditation programme of works.
44:16
So energy, you know, really kind of nobly made the commitment to say that we want to not just be aligned with these standards, but we want to be accredited by these standards.
44:25
And therefore, using that gap analysis as the baseline, we worked with Key Energy to deliver the road map and the implementation plan and then the execution of that implementation plan against those key parameters of leadership alignment and assurance to ultimately generate value in that asset management space.
44:49
So looking at the points that we raised earlier, we created a strategic asset management plan with Energy.
44:56
We created their asset management policy aligned with them, which was all rolled up to their strategic objectives.
45:02
Coming out of that was a series of asset management plans that cover both physical and digital asset management practises.
45:09
And it's a continuously evolving piece of work and we continue to work with Energy today to really good effect.
45:16
And interestingly, a lot of the objectives that we've worked in have actually been migrated or been moved into the EAM solution, but in a joined up holistic fashion to to really, really good effect.
45:31
David, would you like to talk us through a case study too?
45:33
Yeah, absolutely.
45:34
So, so once we've defined that the organisation has has got a strategy, then we really need to dig into the weeds and understand how their current enterprise asset management aspirations support the strategy and and vice versa, obviously.
45:50
So what you're seeing here is our is our radar chart of on two different things within the radar chart.
45:57
SO1 the blue line is the average scores that we've generated over the last 25 years of, of digging into this process.
46:07
Now I'll be at the where, where in the past we used to have to look at many different disparate systems.
46:12
And now we're seeing, you know, that homogenization where we're looking at one or two or maybe a few points solutions, but and it's getting much, much easier.
46:24
But this is also come, this also includes all of the human based actions and, and it's, and what we find is many organisations, once they get to this level, they don't really know where to start, right?
46:36
So I'll tell you a little bit of a story here and a little bit of a journey, right?
46:40
When we overlay where the organisation is good and approaching industry average, you see that in the spikes where they're almost touching those blue areas.
46:51
But then there's the areas where they're where they're weak and, and where they really need to focus right?
46:56
Where areas where, you know, they're not even close to to that blue concentric circle.
47:02
So what we found over the years is by by focusing on those areas that are, that are, that are really weak, we can then build that a homogeneous, you know, circular maturity level, even though it might be at a, at a lower maturity level.
47:21
Once we've got a working solution, we can very quickly then expand outward and grow the business by effective cultural change management and, and having people understanding the technology and why it's important.
47:35
And as the, as the data streams start to come into the system, you can very quickly expand if you have all these herbies or hurdles in the way.
47:44
You know, often we get hung up and the process just doesn't evolve.
47:49
The, the solutions don't get sticky and they don't, they don't grow like they should.
47:54
Again, it's typically not an IT problem anymore.
47:57
It's typically a human and business process problem.
48:01
And that's why what we're addressing here, we had to look at the business process, which will define where we need to act and how quickly we need to act and involve the right people on who we need to act.
48:12
That involves an assessment methodology and also that delivers a programmatic, a return on investment that that waterfall of savings that we can associate directly to those activities engagements to allow us to move the organisation forward.
48:29
Thanks, Andrew.
48:29
Excellent.
48:31
Thank you, David.
48:33
So we're drawing to the to the close of the presentation now and we just wanted to kind of give a quick conclusion as to what we discussed.
48:41
So maximal, we've outlined that maximal application suite is a fundamental shift away from traditional enterprise asset management solutions now into this kind of holistic view of asset life cycle management.
49:00
The application suite contains some fantastic tools that organisations can utilise, but the key message that we're hoping people take away today is that it's the manner in which you look to deploy the system which is going to drive success or failure today.
49:17
It is a very quickly advancing area of knowledge and cohesive have spent significant time and effort in ensuring that our colleague base are well educated with a well-rounded knowledge base of just not just solutions, but also of that holistic knowledge of asset management and asset performance management to support the implementations that we make for our clients.
49:48
Moving to questions.
49:51
Elka, would you can I hand over to yourself please?
49:56
Yes, thank you for that informative session.
49:59
Guys.
50:00
We have some time for questions.
50:01
So the first question is to David, it sounds quite complicated to implement these strategies.
50:08
Can we make it simpler?
50:13
So when you look at the bigger picture, it can look a little daunting.
50:17
And the reality is, is, is there's, there's a, there's a, there's a, an organised approach that simplifies eating that elephant one bite a time.
50:29
And that's that structure that I showed earlier.
50:31
You know, you know, when we've got the right asset classifications, the right asset tags in place, the hierarchies properly developed, and then we associate the reliability strategies against that.
50:43
We're putting the building blocks in place systematically to ease that process.
50:50
You know, a lot of those point solutions that I talked about, you're already using them.
50:54
We saw that in the chat, right?
50:57
How do I, how do we bring that real time data?
50:59
So let's build that frame of reference and let's associate that real time data coming in to so the assets can tell us when we need to have an intervention in the manage work management body of the solution.
51:15
And then of course, once that is once that framework is in place, then we can move in the analytics piece where we can really start to optimise our assets and then move towards that artificial intelligence by having a clean popular population of data to build on.
51:32
All right now eating that elephant one bite a time, creating that structure in an organised delivery, right?
51:40
Putting those foundations in place and then building at the right pace and then making sure that your people understand why, how they're involved, why they're involved and how they can help the organisation grow is a critical success factor from a cultural change management piece.
51:58
Great.
51:59
And then also another one directed to you.
52:01
It's based on strategy 2.
52:02
What's the agent?
52:06
Oh, so agent is what we, what we use for an agent based modelling.
52:12
So it's, it's a, it's a data structure that allows us to go out and figure out the combinations of agents which are contributing to, to show us where, where we need to have an intervention or an action.
52:26
So that's, that's a if, if you consider a failure mode in the reliability strategies, simple pump motor assembly might have 27 independent failure modes that define the health of that asset.
52:41
Each one of those failure modes could be an agent.
52:44
What we're trying to figure out is the combination of agents that contribute to asset health or life cycle costs or when we need to change that asset.
52:56
That's what we mean by an agent.
52:57
It's a, it's a, a data science term that allows us to do that level of analysis.
53:04
But of course, Maximo has already built those connections for you within the mass application.
53:10
Great.
53:11
And then a question to you, Andrew.
53:13
What are the biggest lessons you have learned implementing mass in implementing MASS, Yes, Well, yeah.
53:22
So there, there's been quite a few lessons learned for sure.
53:26
I mean, at Cohesive, we're fortunate now that we've implemented mass globally.
53:32
Yeah, a number of Times Now in spite of the fact that there was a little bit of a kind of waiting game in the industry.
53:40
So the lessons that we've definitely learned is ensuring that clients have a solid understanding of planning with the end in mind.
53:48
The clients initially look to just perform a technical upgrade.
53:52
And as I outlined earlier in the webinar is that if that is what you do, then all you're going to end up with is manage, you know, maximum manage in this broad suite and you will not really be in a good position to take advantage of the other applications available.
54:08
Having said that, the technical infrastructure has also been a challenge for organisations so Cohesive have worked incredibly hard to scale up our resource base in Red Hat Openshift technology, also scaling down the amount of infrastructure required.
54:25
So we've now got a really good handle on deploying this to single node Openshift environments.
54:33
Looking again at the functionality through the organisations that have deployed successfully have had a solid grasp of asset management practises, they've understood what that road map looks like for the application suite.
54:45
So it's not just about planning what happens on day one in mass, but where do they want to be in 135 years beyond the implementation, which often takes into consideration that entire asset management framework, not just the solution itself.
55:03
The, the lessons learned list is, is long and we're happy to share that with, with clients that are into the and then another one too, Andrew, is, are there any trainings for system administrators for mass?
55:19
Yes, so there there's two well, there's there's a multiple ways that organisations could go.
55:25
So IBM learning platform is very good for what I would call standardised training.
55:33
There is lots of badges and things like this that organisations can deliver, however cohesive.
55:40
We have taken on board feedback from clients and delivered enhanced administration training to to those organisations that have made the leap.
55:51
For those that are looking to manage either on Prem or they want to have a very active management of their own organised solution rather than it being an entirely managed service.
56:02
So two options there.
56:03
There are plenty of free learning on the IBM platforms, but for sit down classroom LED training keys have developed those courses.
56:14
Great.
56:14
I think we have time for one more question which is to you David, does FEM, does FMEA part of RCM?
56:22
Then how we can implement differently?
56:28
Yes.
56:28
So failure modes and effective analysis is one level below RCM analysis.
56:35
So what RCM analysis is, is it looks at the individual failure modes that contribute to the changing of the functional requirements, the assets failure modes and effective analysis is more of an asset, an asset, how does it fail, right.
56:51
So that capability is embedded within the technology as well.
56:56
What our cohesive team has done is they've created accelerators within the product and we would be happy to show you how we can how we can utilise our 25 plus years of asset performance management experience in the cohesive accelerators for things like RCM strategies for risk, dynamic risk modelling and for FMEA to maximise again, what you get out of those baseline and foundational strategies that can then allow you to grit the most amount of value from a health and monitor within the math application.
57:37
Perfect.
57:38
Thank you so much, guys.
57:40
With that, we can conclude our webinar.
57:42
I want to again thank our speakers, David and Andrew for joining us today, as well as you, our attendees for listening.
57:48
We have additional information available on our website in the form of blog posts, articles, case studies, and even brochures.
57:55
If you want to really reach out and discuss your strategic path forward, please do so.
58:00
You can also reach out via our website.
58:02
That's a wrap for today's webinar.
58:04
David, Andrew, thank you again and I wish everyone a great day.
Create Your Predictive Maintenance Plan When You Upgrade to MAS
Enjoy the webinar! If you have further questions or need support, our team is here to help.
View Transcript
0:04
Good morning, Good afternoon.
0:06
My name is Elke Hellberg.
0:07
I am part of the Cohesive marketing team.
0:09
I will be assisting the team today with the webinar as moderator.
0:13
We will give it another 30 to 60 seconds to allow all the attendees to join us on this call.
0:51
Great, I think we can start.
0:52
Hi everyone and welcome to our webinar on asset management strategy, Creating a Plan for protective Maintenance in the 2025.
1:00
Before we start, I would just like to highlight some administrative tasks.
1:04
Note that this webinar will be recorded and distributed post webinar.
1:08
All the attendees are currently set to listen only mode, but feel free to post any questions or comments in the chat or question box.
1:14
We will address these at the end of the webinar.
1:17
Should you have any technical questions or problems, please log it with the go to webinar technical team in the form of a question mark or help section in on the panel itself.
1:27
Right, I'll be handing over to the host in a bit, but let me do an introduction of our speakers and Cohesive first.
1:34
Working across all stages of the life cycle, Cohesive helps owner operators embed digital ways of working that Dr operational efficiency and enhance asset performance.
1:43
Cohesive draws on Cortex solutions to support its clients.
1:47
These solutions include Bentley's Infrastructure Cloud I Twin and IBM Maximo, for which Cohesive is the largest implementer.
1:54
Our speakers for today are Kiran Darmasseelane, Senior Analyst, Industrial Transformation from Verdantix and Kevin Egge, Director for Global Business Development at Cohesive.
2:06
In this webinar, you will learn the latest trends and innovations, market best practises, protective maintenance, impact of IoT and AI and lastly the IBM Mass benefits.
2:17
So without further ado, let's dive in and hand over to our first speaker for today, Kieran.
2:29
Thanks, Elke.
2:31
Yeah, welcome everyone.
2:32
Nice to meet you all.
2:34
Yeah, what I'm going to do now as Elke briefly mentioned is talk a little bit around the actual landscape of of asset management, talk about some of the trends, some of the the players in the space, what we're seeing before handing out to Kevin to really deep dive into the cohesive side of things.
2:51
So starting off with trends in asset management for 2025.
2:56
I think when we talk about asset management, it's important to also think about what that actual landscape of asset management means and what we we consider served antics.
3:04
When we look at asset management, we look at kind of I guess three main solutions, your EAM and CMS tools, your APM tools, your AIP tools, your asset point management, asset investment planning tools.
3:15
Really what these tools are working on is the various sets of of kind of horizons starting off with kind of on the left, the operational side of things.
3:23
So looking at kind of your, your asset health, your monitoring capabilities, using that data to then help with failure prediction, very much the core basis of what you'd call an asset performance management solution.
3:34
Then you move towards the right more tactical looking idea.
3:38
So kind of thinking about, okay, how do we take that data to support things like alert analysis, analysis?
3:45
How do we start taking that data to think about, okay, if we know the condition of assets, what we do with that information?
3:51
So then you get to the kind of more the E AM CMS side, the work order workflow sort of things.
3:55
This is where you can actually optimise your maintenance activities, really thinking about scheduling, planning, really trying to optimise that kind of daily, weekly, even monthly style of things.
4:06
As we move further to the right, all that data both in your APM and kind of E AM CMS to all that kind of historic data, future data, data around kind of what's happening today in the plan, what could happen tomorrow, moves into strategic aspects, thinking about, OK, the investment planning landscape, How do how can we think about what's happening today support budget allocations, When should we maintain an asset, when should we replace an asset?
4:28
When should we move forward into some sort of budgetary new discussions, capital investments, etcetera.
4:35
And you get further further long term and that all feeds back into what would be your company's ERP systems.
4:40
So bringing in budgetary data, investment plans, inventory data, etcetera.
4:45
And it's held there for more kind of, I guess, generic company activities.
4:53
In terms of the space itself, I mean, this space has been around for quite, quite some time now.
4:58
We've seen it grow.
4:59
We've seen kind of CMS going to EAM.
5:01
We've seen the APM move away from just failure prediction to, to, to kind of production optimization.
5:07
We've seen a number of things that kind of where we see the market today and what we see happening really we we kind of split up a pedantics into kind of four key major trends.
5:16
The first thing around AI if we break it down in terms of the main software segments of of asset magic solutions within, within APM, we're very much seeing AI being applied to kind of triage failures act as kind of a, a, a sense check.
5:31
Even seeing kind of Co pilot solutions coming in to to allow prescriptive analytics and better training.
5:37
When we look at the more CMSE AM work order management, maintenance flow sort of things, it's all around kind of how to get marginal gains.
5:44
How can we kind of autofill failure codes, How can we streamline the the kind of day-to-day activities to help upskill the less experienced folk within the investment planning side.
5:55
This will mark on the early indications improving decision frameworks, etcetera.
5:59
Second part, the kind of we're seeing is a lot of lines of blurring between the asset management spaces.
6:03
I've, I've spoke quite separately about a PME AM and AIP so far, but we're seeing host of acquisitions in the market at the moment that's really blurring the lines and causing some sort of convergence across these tools.
6:15
I mean, over the last 2-3 years we've seen Hexagon acquiring info for the EAM tools and then always the Itis for APM.
6:23
We've seen Siemens acquire the lives of Brightly Software and Sensei within IFS acquire P2, Copper Leaf Poker and others.
6:30
And we've also seen kind of the firms like IBM really looking to to expand their offering, offering from CMS all the way up to AIP and APM as well.
6:41
Next slide, we've got the service providers here.
6:43
So what we're seeing is these service providers have got a wealth for subject matter.
6:46
So we've got so much information in house that they've been using for their consulting activities, but now there's a thought of why not commercialise that software.
6:54
So what we've seen here is that the firms like Wood from Pinnacle on the APM side, we've seen almost in a similar way with Bentley Systems and cohesive and partnership there for the EM side.
7:04
But a lot of service providers now looking to bring software to the market as well as their services.
7:09
And then lastly, net zero.
7:10
I'm not going to talk too much about this.
7:12
Everyone knows how much of A buzzword decarbonisation net zero is.
7:15
But seeing it rising inferiority got the likes of of Aspertech, GE, Copper Leaf, etcetera, all doing a lot on this space.
7:23
Bentley as well has very strong capabilities on the environmental planning site nowadays as well.
7:31
So with that, I think it's a nice point to stop for our first poll question.
7:36
So I believe everyone should see the poll popping up on their screen.
7:40
The question really is what is your organisation top priority in asset management for the next year?
7:45
Options being implementing new technologies, improving maintenance processes, reducing operational costs and enhancing asset lifespan.
7:53
Should give everyone kind of 30 seconds here, but we appreciate if everyone could quickly hit hit run.
8:01
There we go.
8:02
Seeing a few votes.
8:03
Everyone keep going.
8:04
Please give it another 15 seconds or so.
8:11
Seeing a lot of firms saying improving maintenance process has been a top option.
8:16
Nice to see.
8:23
Alright, yeah, I think that I think that's enough.
8:24
Thank you.
8:24
Everyone who did vote.
8:25
Anyone who has not voted yet, please do do vote if you've got a nice chance to.
8:32
I have just lost the data there, but I think I saw it.
8:35
I saw it improving maintenance processes as the the top choice there.
8:40
Yeah, it makes complete sense.
8:41
We're seeing improving maintenance your top choice.
8:43
I mean, Vedantics love to talk about how Ari is going to change the game and how we can use asset management support, Net 0 initiatives, etcetera.
8:51
But really fundamentally the first step on any asset management journey is improving your maintenance.
8:56
So moving away from Excel and legacy tools, investing in Acms and EM platform, really using your service, why does it help drive drive the kind of lower hanging fruit and maintenance if you want to say so, understand the criticality of your assets, think about how you can streamline work order generation and move into more of a move away from a kind of a reactive to a more predictive environment.
9:17
It's really a big focus.
9:22
Nice.
9:23
Thank you everyone who did vote there.
9:24
So moving on, the next thing we want to talk about is kind of where does predict maintenance fit in this asset management landscape.
9:32
Firstly, what do we mean by predictive maintenance or PDM?
9:35
As we often say, really wave identics defines it is it's, it's real time data-driven methods to understand the condition of assets today, use that information and predict what's happening in the future to help optimise short term plans, especially around maintenance.
9:50
So really what we've seen over the last kind of five years, maybe a bit longer is when this kind of shift in, in the way we maintain our assets.
10:00
No more are we just looking at kind of when does the asset fail and doing some sort of reactive maintenance.
10:04
We're kind of moving towards a, a planned and proactive regimes and taking into account the condition based data at the time of our activities, try optimising when we can better intervene and maintain our assets.
10:17
But as we've got more and more data available, SB and kind of more processing power available, and even with the proliferation of AI analytics coming into play, what we've quickly started realising is actually we've got so much data about what's happening today.
10:30
Why can't we predict what's going to happen tomorrow to then improve our maintenance even further.
10:34
And that's kind of where predictive is kind of sits in.
10:36
It's kind of this idea now of let's leverage all that existing information, expertise, maintenance efforts we already have to think about what could happen tomorrow, thereby kind of extending asset up times, looking at extending asset life, helping budget properly and ultimately reducing kind of increasing safety, reducing accidents, etcetera.
10:57
So hoping both on the asset side as well as the people's side.
11:02
But when we talk about predicting maintenance, while there are vendors out there and service riders you can go out to and say, look, we're offering a predict maintenance solution.
11:11
It's not really just a A1 solution.
11:14
It's kind of a, it's very different types of predict miniature and say.
11:17
So evidentically kind of look at it as 3, three types really or three, three maturity scales.
11:22
The first thing condition maintenance, which isn't strictly predictive, but it's kind of just purely using sensor data, real time data to understand what's happening and the same kind of thresholds around kind of when things might fail if it breached a certain threshold.
11:36
Very kind of vibration monitoring type of activities very much used on the kind of inspection around areas.
11:43
Very more for the field workers who who can just kind of recognise different, different triggers when they're when they're walking around.
11:50
Then you get your more of your AI based analytics.
11:52
Now this is really where your machine learning statistic models come into play.
11:57
Some forecast asset failures, you're building models based on historic data, training on real time data and then using it to understand what can happen in the future.
12:06
Then you've got your probably your most, most sophisticated is your actual asset performance management solutions.
12:12
So this is combining that AI based area as well as physics based models and failure modes to really kind of put context to what the AI tools are seeing.
12:22
Really what it's doing is that you're both not only predicament failures are happening, but get prescriptive guidance about how to actually improve or or act to those failures.
12:30
And yet firms like like Bentley Systems and IBM are huge players in this space.
12:37
Great.
12:37
So the next thing I want to show you is some survey data.
12:41
So anyone who's not worked with Vedantics 4 or not familiar with Vedantics, one thing there about us, we love our surveys.
12:47
We love going out to the market and talking to firms, talking to buyers of software to understand what's making people tick.
12:51
So last two in the last two years there was two surveys, the 2023 and 24 survey where we actually coincidentally interviewed the engine of four executives, but it was executives across operations, maintenance, engineering, safety, etcetera, across across the globe.
13:07
You know, a number of industries really trying to understand their budgets, their priorities, their, their tech preferences.
13:13
And what we saw when we asked there around kind of their, their, their, their kind of investment around predicted maintenance.
13:20
What we saw is currently right now predicted maintenance is still quite immature.
13:26
So we look at the the far left figure, only about 20% of firms have got a, a commercial software in place.
13:33
But saying that moving to the middle one about, yeah, just under 50% now are saying they're going to actually increase investment in predicted maintenance solutions over the next 12 months.
13:43
And one of the big drivers we're seeing again is how predicted maintenance is being seen as a very helpful solution to achieve net, net zero goals.
13:49
So what's that?
13:52
Nearly 80% of firms, they're saying that net zero's pretty Rangers tools will help achieve net zero goals.
13:58
And that's very much because if you can predict failures, you can stop unplanned downtime, you can reduce your emissions and improve your energy consumption.
14:07
So what does Vedantics do in this space and what we've seen in the market?
14:14
So just starting off with some research, Vedantics has something we call a green quadrant.
14:18
It's our flagship research product that is a completely independent, independent and transparent analysis where we look at key players in a in a software segment or services segment to see what they offer and rank and rank them accordingly.
14:32
So we've done a number of recent number of a number of reports recently on with this methodology.
14:38
It's kind of a six month process.
14:40
We we ask all participants to fill in questionnaires with over 100 questions, provide demos as interview their customers, etcetera.
14:46
So it's a very rigorous assessment.
14:50
And earlier this year we did the 2024 E AM GQ, which you see on the far left.
14:55
And really what this, what this looked at, it was the second, the second one we've done is we did one in 2022.
15:01
And what we saw here was that we are a number of new entrants to the market, the likes of Service Now and IFS really building out their own kind of EAM solutions.
15:09
But also what we saw is big influence on application and artificial intelligence and very much seeing firms like IBM topping the charts here and coming out as leaders because of their their focus on AI and their way of stream money maintenance workflows.
15:26
We look at the 2024 APMGQ, this was the third we've done in in about four years.
15:34
Key things we saw here as a new entrance was because of a proliferation of AI analytics, We saw BAM vendors crossing the chasm into APM as a service providers commercialise their tools.
15:43
As such, you're seeing names like Wood Group, Uptime AI, Hexagon, IFS, all now playing APM software space market leaders we saw here and the likes of Bentley Systems, IBM, Aviva, GE and, and and so on.
15:59
Really the reasons why they care as market leaders is they are legacy players in this space.
16:03
They've continued to grow as the market grew.
16:06
They've, they've brought in their own AI capabilities.
16:08
They've, they've expanded their solution past failure predictions to environmental production and safety as well.
16:14
Really seeing a solid solution that focused on usability, not just giving information that can tell you out about failure predictions.
16:25
And lastly, we looked at services.
16:26
So kind of how good are firms are implementing asset management technologies purely focused on service providers rather than kind of software and service providers?
16:37
Here's the first we've done in IT, we looked at 10 different customers, 10 different vendors across, I think it was 5 different service areas.
16:44
Primary focus is really around how good firms are implementing E AM, APM and ARP software.
16:50
What we saw here was cohesive and Wood really works on the two of the top leaders there.
16:54
Wood having very good strength around ASIP, APMS integrity solutions, whereas cohesive showing strong capabilities across EAM and APM and SA integrity as well, especially with the the, the the influence from Bentley and IBM as well.
17:10
So kind of quick, a very quick one on how how we built this this data.
17:13
So effectively for each green quadrant, what we do is we set a group of categories.
17:22
So I think this is the EM green quadrant.
17:24
You've got your functional technical capabilities, the first one, these are kind of the core capabilities of the EM platform.
17:29
We score each other capabilities in a in a, in a framework like that scores everything between zero and three.
17:35
Bring that all together based on weightings around how important each category is and it forms your, your Y axis on the quadrant.
17:41
And then you look at the momentum, which at the scale of your solutions, things like acquisitions, partnerships, financial resources and customers to understand how how strong your solution is across the actual market.
17:51
And that forms the, the, the X axis.
17:55
If anyone's interested actually learning more about methodology, feel free to to message me after the call or read the report.
18:00
There's much deeper dive of it available.
18:05
Great.
18:05
So next thing is the future of asset management.
18:10
So what can we expect as we as we go through the market in terms of the future, really we're seeing key 333 key things kind of the bolstering of AI data management becoming a foundational layer and net zero obviously increasing further.
18:28
So starting with AI, what we've seen is that AI tools are already enabling firms to to quickly extract information and contextualise vast data sets aligned move from just predictive activities to more prescriptive activities.
18:42
We've seen generative AI come into play with a lot of chat bots and Co pilots coming in to allow kind of retrieval applications and more interactive activities with software.
18:52
When we, when we surveyed our, our respondents last year, sorry this year, what we saw around kind of use cases for AI was kind of process automation for plant managers on top of it as well as kind of predicting failures and unplanned downtime.
19:07
We look at Gen AI, it's all around Co improving plant performance.
19:10
So very much think AI as a mega trend to support operational issues for the for, for industrial firms.
19:19
In terms of data management, we, I think we all know silo data is one of the largest obstacles we've got in the market right now.
19:27
And as firms look to embark on that predictive maintenance journey, the first thing, the 1st and most important thing is make sure you've got the right data available.
19:35
So we're seeing a proliferation of data management tools really focused on ingesting data from anywhere, but then also contextualising data, managing data, making it accessible for anyone and then put it in a format that can then easily be analysed for kind of predictive maintenance activities.
19:55
Great.
19:56
And then the last one, I think this is my my last slide actually before last poll as well, but is the decarbonisation net zero side of things.
20:08
So what we're seeing here, I mean, broadly speaking, decarbonisation is, is one of the major targets for all corporate firms.
20:15
And what we're seeing effectively is that these.
20:20
Is that these these these economise targets are now feeding into kind of operational targets and challenges.
20:26
So in order to for firms to effectively collect data to meet these targets that need additional solutions, especially kind of operations and maintenance tools because these have knock on effects around kind of reducing emissions for the energy consumption etcetera.
20:39
I think actually the World Economic Forum came out, I want to say earlier this year or maybe last year and said really to digital solutions can help reduce your energy consumption by I think up to 10%, which I think is significant.
20:53
If you think of firms kind of 2020, 2030 goals where they want to get to into the net zero.
20:59
If licencing a software can get you 2015, sorry, 1015% of your way, that's huge benefits and a lot cheaper than investing in a carbon capture plant on the side of your, your refine, for example.
21:13
On top of that, we're seeing that day-to-day technicians and their mobile apps and you need to have some sort of reporting capability to support sustainability metrics.
21:21
So even more important to incorporate that ESG sided to asset management as well.
21:27
Great.
21:27
So I think last, last thing from me, if I hand over to you to Kevin, but live poll #2 So the question will be popping up for you guys shortly.
21:37
But the question is what are the biggest challenges to your organisation?
21:41
So what are the biggest challenges your organisation faces in implementing predictive maintenance, data integration issues, high implementation costs, lack of a skilled personnel or data accuracy or liability?
21:52
Just give everyone 30 seconds or so to to reply to that, and then we'll quickly get to the data.
22:03
Early indications of saying data accuracy and reliability swifting a lot data integration as well high implemented everyone's it looks like everything is quite equally important, which is great to see.
22:17
OK, OK, I think data integration issues is is the top option, but everything is is got quite a few quite a few hits there.
22:27
So thank you everyone who who voted biggest challenges.
22:32
Yeah, data integration I think is a is a big issue because I think as you all know, there's so many different solutions out there in the market.
22:40
Data's been installed in different places side of the data I've already mentioned.
22:43
I think what we're seeing a lot from the vendors and the service providers in the space now is there's a big focus on how to streamline, streamline that that integration piece.
22:52
I haven't got the the number from my head, but one of our survey questions actually asked corporate buyers around using service providers for data integration.
23:02
And it came out as one of the top options around why firms turn turn to deferred service providers like Cohesive to support data integration because they just don't feel they can do it themselves.
23:10
And firms like Cohesive serve have a wealth of information and source to support that that issue top of that data accuracy and reliability.
23:19
I think really there, you'd be surprised how much data you already have in your solution.
23:26
Again, service providers being a good, great place to understand, help you understand and sort through that data.
23:31
So don't be afraid to to reach out to to your service providers to support you on that front.
23:38
Great.
23:38
With that, I'm going to hand over to Kevin to, to talk through some of the the cohesive city offerings.
23:45
All right.
23:48
Well, thanks, Kieran.
23:49
Great messaging on predictive maintenance.
23:51
So my role today is to talk about more of what we're seeing from a cohesive perspective, what we're seeing in the field related to predictive maintenance and helping, you know, the audience bring that back into their organisation.
24:07
So next slide, when we talk about getting too predictive, looking at how do we optimise our maintenance process and have a tool to predict, you know, predict a failure for us, a lot of the conversation really focuses on the tool.
24:28
The tool is absolutely necessary, but the key pieces that are around that tool are what will help make predict a reality in the environment and actually help kind of build that path to predict.
24:43
So understanding your processes related to maintenance.
24:48
So if you do have a tool that can predict an asset failure, what do you do with that information?
24:54
Is it just another alarm that comes up and you ignore it or when you have a predictive tool that would say your your motor is going to fail in 30 days.
25:08
Have you developed a process that you can look at that data, understand that data and then act on that data?
25:16
Whether that is moving out your maintenance schedule or moving in that asset to your maintenance schedule.
25:22
The process is key, you know, above and beyond the the predictive tool, how you get to develop that process is really working on your reliability strategy.
25:34
Your reliability strategy is going to inform where are your major risk areas, what are those key assets that are absolutely critical.
25:43
Those critical assets are where we would spend the time and money to implement predict and you'll pull that back into developing a process and ultimately making a successful implementation.
25:57
So you know, a plug for Cohesive here is that is Cohesive's expertise is looking at, you know, from an advisory perspective, your whole maintenance organisation operations.
26:10
How can we, you know, help you understand and kind of peel that on your back and understand your reliability strategy overall, which will then help your organisation mature into an organisation that can leverage predict next slide.
26:29
So I'll build on what Karen had already mentioned around APMI think you know, from a field perspective, looking at APM, you know, the predictive tools even within the IBM ecosystem with health and predict really what from a maintenance perspective they're designed to do is provide decision support.
26:51
That's a key piece where it is information that your team will act on.
26:57
Will that act of creating a work order, taking down a particular asset ever be automated?
27:04
It's highly unlikely, but that decision support is what enables your relatively small team or focus team on a particular plant line or, you know, particular plant overall.
27:18
It can surface, you know, days and you know, weeks worth of research all within one particular notification of a particular failure and the supporting information that's behind that.
27:30
So if you look at APM, you know it's a critical part to the asset management strategy overall.
27:37
And you know, going back to if you were to summarise APM, it is decision support for understanding how you improve your maintenance process.
27:47
Next slide.
27:51
So IBM cohesive is a major partner with IBM.
27:56
So we we are a platinum partner of IBM.
27:59
We focus on implementing Maximo for our customers and our customers, you know, run the whole range of maturity and at a minimum they are all, you know, within that manage realm of maximum.
28:15
So creating work orders, scheduling out that maintenance, leveraging mobile.
28:20
So you've got your field technicians with the the right work process that they have for you know, assessing an asset, doing, doing that actual work on that asset.
28:31
So you know, that's, that's the foundation of Maximo, foundation of asset management overall with the Maximo application suite, that's where we're having this type of conversation.
28:42
So IBM has invested heavily over the last few years in building out these tools that are all part of a suite.
28:49
So you can start with monitor bringing in that information.
28:53
So, you know, one of the polls was data integrity.
28:56
So, you know, first you have to get your data out of multiple systems, then you normalise that data and have access to that data.
29:04
That can be done to monitor.
29:05
You can leverage for conditions, monitoring health within the application suite.
29:11
And then what we're talking to today, you know, building all the way up to predict that is a growth curve, a maturity curve within the maintenance organisation.
29:20
It's all at arm's reach with working with IBM, working with maximal application suite.
29:26
So it's a very powerful application that's, you know, IBM is investing heavily in next slide.
29:36
So from, you know, the field perspective of cohesive with our customers, you're getting you're going up this maturity curve in this particular image looks very linear when you know many conversations as well.
29:50
You know you've moved from scheduling to condition based maintenance.
29:54
So how many runtime hours have you this particular asset had?
30:00
So let's put that in the schedule to maintain.
30:03
The next logical step would be kind of moving up a curve and well, you know, if I'm already doing condition based maintenance, maybe I can just move right?
30:10
To predict that curve from going to condition based maintenance up to more of a predictive model really requires that honing in of your reliability strategy that I mentioned, you know, on the 1st slide.
30:24
Again, that's where cohesive from an advisory perspective helps, helps our customers build out that reliability strategy.
30:32
That reliability strategy then informs where your team focuses from, you know, an *** a critical asset perspective and then driving towards predict.
30:45
And you know, as we'll talk about with driving to predict, it is not, you know, it's kind it's not a Big Bang where you just roll out predict to an entire plant or an entire organisation based on that reliability strategy.
31:01
You can then have a focused approach where it's step by step by step and it's more of a an attainable type approach to implementing predict.
31:12
Next slide.
31:15
So YAPM and why now you can see there are a list of reasons both why and why now they're going to be specific to your organisation.
31:25
Ultimately, if you look at the kind of current economic environment, one thing you know, that kind of stands out is if you your organisation is standing still, you're already falling behind the adage of if it's not broke, don't fix it.
31:43
You know, I think we're seeing over and over that that those rules just cannot apply anymore.
31:50
The efficiencies that are being brought in the supply chain, cybersecurity threats, how do all of these factor into just your overall maintenance strategy?
32:00
So you know, you're trying to focus on one, just extending your asset life, but you know overall extending an asset life is really part of that bigger picture of your organisation.
32:11
That bigger picture could be driving revenue, could be delivering product or reliability of your utility.
32:17
So those are there are a lot of reasons within your organisation, understanding what is specific to the organisation strategy and honing in on what makes sense for your organisation key.
32:30
Another one that we hear a lot is the ageing workforce.
32:34
You know, they're certainly not only ageing workforce, but also I would say slimming down of the resource of the workforce.
32:42
So there are fewer people to do more maintenance of actually more assets that some of those assets may actually be smarter assets that you know, they're more complex assets, if you will.
32:55
So how do you take the knowledge that your organisation has and put them into systems like Maximo Application Suite, You know, that's really helping retain that knowledge even as some of those workers are, you know, moving to different roles, different companies, maybe just retiring, but it's keeping that knowledge within the organisation.
33:19
So next slide.
33:25
So you've, Kieran, talked to some of the market forces already, you know, drilling down into, I guess what we're seeing in the field, you know, customers, I think everyone can relate to these.
33:39
So doing more with less, I guess would be a summary, you know, around cost savings, equipment reliability.
33:44
How do we extend the life of an asset?
33:46
How do we not, you know, have to replace assets in the field because we, you know, they have not been budgeted for, for those types of replacements.
33:56
Safety is a key concern driving predict.
34:00
So you know, one antidote would be to go to YouTube and just query steel mill asset failures and you can see that the asset failures may stop a production line, they may turn off power.
34:16
A lot of those types of failures actually have safety consequences.
34:20
I've worked with a customer that had to close down an entire chip making fab because their systems got to a critical level that they could release toxic gases.
34:31
So instead of reaching that point, they closed down the plant because there's more of a react mode.
34:37
So from a predict perspective, can you increase safety by getting ahead of, you know, safety incidences and actually have cost savings, you know, as part of that strategy and then market forces, you know, when that isn't talked about a lot in operations maintenance, you know, predict is really increasing a company's bottom line.
35:00
So the, the, IT used to be an expense, now IT is looked at as a revenue driver.
35:07
So an innovator within an organisation.
35:10
Manufacturing traditionally was just an expense kind of run to failure.
35:15
How does manufacture our manufacturing environment help us increase our revenue, increase our product output?
35:22
Maintenance operations is seen as, you know, how can we be more efficient with what we have today so we can drive more revenue out of a particular plant, drive more product.
35:33
So you know, it's not just about maintenance, it's really about increasing the company's bottom line.
35:39
Next slide.
35:43
There are a lot of challenges to predict and many customers as they grow, you know, are starting on this maturity curve journey.
35:51
They're all talking about the same roadblocks, if you will.
35:57
So data quality, you know, that was already mentioned in our poll.
36:01
Certainly data quality is an issue.
36:02
It wasn't a focus.
36:03
The data, we have piles of data.
36:08
The history of gathering that data was just a surface and alarm.
36:11
Now we have alarm fatigue.
36:12
So no one was focused on the quality of that data.
36:16
You're seeing more and better data come out of systems today as the awareness of data quality does matter.
36:26
And looking at data quality from a predict perspective, taking it back to the reliability strategy will uncover your critical assets.
36:37
Now you can focus on those critical assets.
36:39
Which ones have the best data?
36:41
Which ones have data quality that's the closest to helping achieve your goal by implementing a predict model with that right data now you can hone in a place to start so you can remove that roadblock because you may have one or two critical assets that have great data quality.
37:02
Getting over the curve of getting, you know as best data quality as you can would be a minimal effort compared to just thinking we don't have great data and using that as a roadblock.
37:14
There are ways to get through the data quality issues, data integration, you know that's kind of where maximum application suite has monitored.
37:22
So bringing in multiple sources of data, normalising that data.
37:26
The key aspect of the application suite skills gap from a predict perspective certainly is there the engineers that understand those assets, understand what that data is likely are already in your organisation pulling in a trusted party that can help with predict, help build those models.
37:49
That is part of teamwork.
37:51
You know, don't look to do everything inside your organisation yourself.
37:54
You can fill in those skills gap with a trusted partner and cost.
37:59
You know, any new digital strategy is going to have a cost.
38:03
A big portion of, you know, working with a partner, working internally, building up a business case, you know, for your executives, aligning it to the overall strategy.
38:14
So if there's a strategy around going into a new market, doing a new product or producing more, you know, showing how that cost for predict is going to be greatly shadowed by the fact that you can deliver more product, more reliable, more reliable, kind of meet your Slas.
38:31
So cost is a factor, but it should just like any business case be factored into improving business processes overall.
38:40
So next slide.
38:44
Now we get to that actual business value I'll predict and you can look at it across within the maintenance and operation organisation.
38:54
Again, do more with less.
38:56
So there are many customers that are essentially doing predict or kind of asset investment planning on a massive spreadsheet that's taking months to collect data.
39:06
Data becomes stale, you've got to refresh.
39:09
So the more data decision insights that you can drive out of Maximo, the application suite, I guess the more efficient your organisation is going to be.
39:21
So how do you get to data-driven insights in a faster, more timely manner?
39:25
You know, that is moving up that maturity curve to predict.
39:28
So you know, a classic case would predict is that you already have a maintenance shut down window or maintenance, you know scheduled maintenance that's coming up in three months.
39:39
Particular asset is showing as it may fail within the next two months, but that asset is not scheduled to be maintained for six months.
39:47
Why not through data-driven insights pull that asset maintenance into that particular schedule maintenance.
39:54
Now you may have reduced another maintenance, you know, down the line that would require a plant shut down and again a lot of business value in that type of data insight even leveraging, you know showing that your organisation is moving to predict more reliable.
40:15
Manufacturing, you know, delivering your product type approach that can be promoted even with investor.
40:22
You know, we've seen AI, we've seen more of these kind of data-driven type approaches for the digital strategy promoted in investment type discussions so that companies know they can trust your company to deliver product.
40:40
They know that your organisation is a leader in the space.
40:43
You've got your data together, you've got your reliability strategies together.
40:47
You you're moving towards that predict state, if you will.
40:52
So just looking at these, there's different ways to promote the business value even you know, from a reliability perspective, delivering product to your customer may not be an end customer, maybe BB to B, but driving customer satisfaction.
41:06
So as you're promoting like how do we do more with Maximal application suite, talking to the business about these types of value is what gets the business interested in kind of helping carry that torch of why we should invest in this type of technology.
41:22
Next slide, just some by way of background.
41:31
So I did work with IBM for six years in the Maximal group and worked heavily with it, help and predict and actually working with customers.
41:42
These are some of the antidotes that I was able to kind of bring to this session.
41:47
So looking at moving to predict, it's an absolute journey.
41:51
Again, there's no tool, there's no particular process.
41:55
You cannot implement this across every single asset to start.
41:58
So the organisation first, you know, has to align that this digital change is going to align with our strategy.
42:08
It's going to be consistent throughout the organisation.
42:13
Again, it's a journey.
42:14
So looking at how we get more efficient in the organisation, do more with less, it is you should see it as what do we do this year?
42:25
What do we do in three years?
42:26
Where, where do we want to be in five?
42:29
One thing around data quality is a lack of trust in predictive results.
42:34
So if you have an engineer who has seen these types of failures and from a data insight perspective, this asset may fail in two months.
42:45
We've seen engineers say, no, no way.
42:47
I haven't heard this particular noise yet come out of this pump.
42:51
I don't think it's going to fail, right.
42:52
So how in within your process, within that journey, you really have to start look at these data insights, you track them through your process and it may not be an implementable process.
43:06
It may be, let's go through this process.
43:09
Did that predict, you know, actually it was like what was the success factor of that particular result?
43:19
Now you can start building trust before you implement it within your organisation.
43:25
Another interesting approach is, you know failure of assets ultimately will decline like contribute to decline in sales, decline in revenue if you look at from even in an IT perspective.
43:43
So no one knows that IT exists until things fail.
43:48
No one knows about your manufacturing plant, your output until there are is a massive failure and you can't ship you know 5000 units because you were down for the latter half of the day.
43:59
So it is a critical part of this digital strategy that you have to promote back that our operational efficiency has increased, we're producing more output, you know that cost for goods sold, translating that into increased revenue, increased delivery, increased satisfaction.
44:19
Part of why I predict projects do not move forward is because they focus on the tool.
44:24
They focus on what does that predict result.
44:27
They're not really translating that back to we caught these five failures, here's the business impact, you know, translating that back into the business and then looking at back to that key point of what's going to define moving to predict, It's that reliability strategy.
44:46
Where does your risk lie?
44:48
Where is that low hanging fruit that you can start, you know, on this journey?
44:53
Taking the time to develop that reliability strategy is essential.
45:00
Next slide.
45:05
So if if you're participating in this webinar today and you're a maximal customer, you know there is that transition up to the application suite.
45:15
And next slide, we can kind of jump into, you know, just at a high level looking at, you know, if you're on Maximo 76 today, moving up to MAZ, those are real considerations that have real impact on your organisation.
45:31
IBM has been working on the application suite for years and has vested heavily.
45:36
And now, you know, there is that critical decision point next year where they're going to end up support Maximo 76.
45:44
So from a reality perspective, moving forward, there is progress happening in the world.
45:50
You know, standing still means you're already falling behind.
45:54
Moving into the application suite gives you a whole host of benefits.
45:57
At a very minimum, you're aligning to the strategy of a major tool that your company is investing in.
46:05
Maximum application suite being a unified platform is ultimately becoming a system of record that you can trust on, not just for the asset, not just for work orders, but now you're starting to have operational conditions, you know, from your asset.
46:20
If you're laying in models around critical assets, now you're, you're building in that predictive again, decision support within your organisation.
46:30
All of that's within a consistent suite, if you will.
46:35
So you've, the application suite is meant to have your team be able to take advantage of different solutions as well as the data within Maximo.
46:46
So it gives you your team greater visibility again from just your core asset all the way up to how it's operating.
46:52
And then, you know, one thing that we're hearing, so maximal application suite is built on Red Hat.
46:58
Your IT team may not have those skills.
47:01
It's a big jump.
47:03
You know, just from your infrastructure perspective that is a, you know, it's a lift and shift getting over to that type of infrastructure.
47:13
Yeah, it's a one time event.
47:14
It's not, you know, so there is that work, that pain that has to go moving over to the new application suite.
47:23
But again, you're aligning your company, your investment in a application with where IB, Ms putting their investment.
47:30
You're gaining a tonne of insight that you would not have if you just had stand alone applications across different vendors on those particular assets.
47:39
And then even from a scalability perspective, as your company needs to use more resources as you do more with Predict, as you do more with Monitor, that scales easily with Red Hat on the back end.
47:54
Next slide.
47:58
So you know, I'll just kind of summarise my portion of this webinar.
48:04
When we look at Predict, again, it's not a tool, it's not just a process, it's not just a reliability strategy, it's being able to translate those and help your organisation mature from a digital improvement perspective, which ultimately, you know, improves your maintenance process.
48:24
That was one of the key things from the first poll.
48:27
Improving your maintenance process is fundamentally helping to contribute to the bottom line, like moving from a cost centre to aligning to the your company's strategy, aligning to that overall revenue target.
48:43
All of these things come into play.
48:45
So we don't want to look at it as just how do I improve my maintenance process.
48:49
Look at it from the full business perspective.
48:53
Then if we go down into the application suite, you've got all of these different functions that you can now, you know, pull together around, manage, monitor, help predict.
49:05
The licencing approach for app points makes it really easy to consume.
49:09
So you've got app points that are consistent across one solution, but are across your entire operations organisation.
49:16
Those app points can help you move in to predict in that more journey type approach where you're leveraging of you're carving off a few unused app points, you're going to move them over to monitor, start pulling in data, start, you know, normalising that data, start trusting that data, pull over a few more app points to leverage predict.
49:37
Now you can start building, you know, as you're building out that business case, you're also building out that technology case with that licencing approach.
49:45
It's not, hey, why don't we go spend, you know, a lot of money to just get a predict application.
49:51
You're able to pull that in on a kind of per consumption basis if you will.
49:56
So even the licencing strategy that IBM is promoting around application suite is really beneficial as you move into, you know that model ultimately that maturity approach.
50:07
So, and you know, the last kind of plug for cohesive, this is our bread and butter implementing Maximo, working with IBM closely helping customers from an advisory perspective around how do we advise customers what their reliability strategy should be, which informs moving into application suite just to find those expenses.
50:31
You know, it's all intertwined, but you know, looking at how do we get to predict these are the types of steps that your organisation can take.
50:41
Next slide.
50:45
So, you know, I guess we'll open it up for questions.
50:49
I think we can, yeah.
50:52
Are we going to have people we are doing that.
50:56
OK.
50:56
So the first question is for you, Kieran.
51:00
What does APME, AM, CMMS and AIP stand for?
51:06
Yeah.
51:07
So I, I maybe didn't make it very clear to start, CMS is computerised maintenance management systems, EAM is enterprise asset Management, APM is asset performance management and AIP is asset investment planning.
51:21
So those four solutions make up what we would call the asset management landscape of edantics, EM and CMS very looking, very much looking at work order management activities, optimising your maintenance and kind of yeah, optimising maintenance activities, looking at inventory, spare parts, etcetera.
51:40
Asset performance management on APM, looking at failure prediction.
51:43
Kevin spoke a lot about APS slides as well, asset investment planning, AIP, multi long term budgeting and investment decisions.
51:51
OK, great.
51:52
Thank you.
51:53
And then Kevin, what are some quick wins we can achieve by adopting protective maintenance in our organisation?
52:01
Yeah, it goes back to that journey.
52:02
So if you have a reliability strategy looking at your critical assets, within those critical assets do you have a common type asset that is across multiple plants?
52:16
Where can you have an asset that you understand have good data but also has scale so you know it's not one very asset intensive or you know it's a critical asset, but you only have one of look at a more known asset that you have scale across the organisation.
52:34
I would say is kind of where time would be well spent to help you get scaled quickly.
52:42
Awesome.
52:43
Kieran, how do you prioritise which assets to focus on 1st when implementing predictive maintenance?
52:50
Yeah, good question.
52:53
So when looking to prioritise what assets, I think I'd focus on on three, maybe 4 points of criticality, the rest of your business, data availability and major complexity as well.
53:05
So in criticality, it's very much around you want to prioritise the most critical assets.
53:09
So they're the ones that when you've got downtime, they're the ones causing causing the most financial impact.
53:16
Yeah, there's a lot of tools out there to support criticality assessments.
53:20
I'm pretty sure cohesive work on that front as well.
53:22
So you can work with service providers and others to, to, to do things like critical assessments.
53:26
If you're not sure about which one, which assets are the most critical in terms of risk, look at your asset histories, which which assets are the ones that most frequently fail?
53:35
How hard was it to fix those failures?
53:37
Think about which ones can actually which ones you need to better understand to improve your kind of Rois, data availability.
53:46
Obviously everyone knows the saying kind of garbage in, garbage out, right?
53:50
If you've got good data, you're not going to get predictive maintenance or predictive analytics going on.
53:55
So you need to have strong data coming in.
53:58
Make sure you've got the sensors in the right place.
53:59
Make sure sensors available, make sure it's quality data that we're ingesting.
54:03
And then obviously the complexity side of things.
54:06
It's obviously easy to implement predictive maintenance tools on certain assets and certain sites.
54:11
Think about which ones you want to start with, probably pilot to predict the maintenance approach first before going onto a full kind of multi site deployment.
54:18
Start a small grow, learn from your successes and use that to build momentum.
54:23
The worst thing you can do is say look, I want predictive maintenance all my five different manufacturing sites all at once.
54:29
You invest a lot, 1 of the sites don't work and then you go to your boss or your C level and say, but it didn't happen.
54:34
It didn't work because we weren't ready for it.
54:36
And they, they're never going to give you the budget again because you've, you've, you've spent so much money on something that in theory would have been great, but you almost ran before you could walk.
54:44
So you, you weren't in a position to, to go as far.
54:47
So make sure you do kind of start small, keep it as as simple as possible and grow into complexity.
54:54
Perfect, thank you.
54:55
That's unfortunately all the time we have for today.
54:58
With that, we can conclude our webinar.
55:00
I want to thank our speakers for joining us today as well as you, our attendees for listening.
55:04
We have additional information available on our website in the form of blog posts, articles, case studies, and even brochures.
55:11
If you want to really reach out and discuss your strategic path forward, please reach out.
55:16
You can also reach out via our website.
55:18
That is a wrap for today's webinar.
55:20
Kieran and Kevin, thank you again and I wish everyone a great day and a happy holiday.
55:26
Thanks all.
55:26
Thank you.
“
We’ve been using Maximo for a long time. We’ve got a lot of special things about our Maximo use case that had to be done. Working with the change management lead in Cohesive, we laid the foundation for the change. Then, when we went live, it was quiet and went smoothly.
Bob Fyke
Asset Management Engineering Manager, Consolidated Edison of New York
Insider’s Guide to Deploying Maximo Application Suite
The way that MAS is built represents a significant departure from the previous Maximo Asset Management architecture, which used a traditional client/server topology.
This change requires different IT resources and support models than previous versions. Learn about technical requirements and hidden costs so you can make the right deployment decision.
MAS Upgrade Customer Success Stories
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Careful Planning Helped Con Edison Ensure a Smooth Go-Live
See how Con Edison ensured configurations and integrations were available after the upgrade.
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MAS Upgrade Accelerates Innovation at Kielce University
See how MAS supported effective, safe, and sustainable management of operational resources.
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Frequently Asked Questions about the MAS Upgrade
What does end-of-support for Maximo mean for security and compliance?
End-of-support date for Maximo 7.6.1.x is set for September 30, 2025. After this date, IBM will no longer provide updates, patches, security fixes, or technical support for Maximo 7.6.1.x or earlier. Users will be vulnerable to potential issues and unable to access critical updates once the date passes.
What are the key improvements in MAS that will bring value to our company?
With Maximo Application Suite (MAS) asset-intensive industries can make data-driven decisions to optimize maintenance strategies, reduce downtime, and increase operational efficiency. Compared with previous versions of Maximo, MAS delivers significant value, including:
Asset visibility and insights:
Machine learning and predictive analytics identify potential asset failures before they occur, enabling proactive maintenance and preventing unplanned downtime.
Integrated platform:
MAS is a single system to manage all aspects of asset lifecycle, from procurement to decommissioning, providing a holistic view of asset health and performance.
Mobile accessibility:
Real-time access to asset information and work orders on mobile devices, empowers technicians in the field to make informed decisions and complete tasks efficiently.
Powerful data analytics and visualization tools:
With MAS you can analyze asset performance trends, identify patterns, and gain actionable insights for optimizing maintenance strategies.
Automated workflows:
MAS streamlines processes for work order creation, scheduling, and approval, reducing manual effort and improving operational efficiency.
Visual inspection capabilities:
Image and video analysis analyzes potential issues during inspections, improving accuracy and reliability.
Enhanced collaboration:
You can improve communication between maintenance teams, stakeholders, and management through centralized data and reporting.
Key components of MAS include:
Maximo Manage
Core Enterprise Asset Management (EAM) application for managing asset lifecycle, work orders, and maintenance activities.
Maximo Monitor
Real-time asset monitoring and condition-based monitoring to identify potential issues early
Maximo Visual Inspection
AI-powered visual inspection capabilities for analyzing images and videos
Maximo Health
Advanced analytics and risk assessment tools to prioritize maintenance activities based on asset criticality
Maximo Predict
Predictive maintenance capabilities using machine learning models to predict potential failure
How will MAS help us comply with industry regulations and compliance requirements?
The latest version of MAS supports compliance with ISO 55000, health, safety, and environmental (HSE) requirements, cybersecurity frameworks, and industry standards. If you choose to remain on Maximo 7.6 or prior, you will not be in compliance with regulatory or cybersecurity standards. This version will not be updated with security patches. If a vulnerability exposes you to a cyberattack, IBM will not be providing a fix.
Why should we pay more for MAS than Maximo?
Depending on your licensing and hosting requirements, your initial investment in MAS is not necessarily more than what you’ve been paying for Maximo, but with much higher value. You can get feature parity between the previous version of Maximo and the Manage module of MAS. Plus, you will have access to additional modules, which will allow you to expand your maintenance and operations to become a mature Enterprise Asset Management program.
Will my existing licenses with Maximo transfer to MAS? What are the licensing costs associated with MAS?
With MAS, IBM has shifted to a licensing system where users are assigned a certain number of AppPoints based on their access level and the features they use. Users consume AppPoints when they log in and access different MAS applications, with the points being deducted from a shared pool.
In the new MAS AppPoints model, you have the option of Authorized or Concurrent licenses. An “Authorized” license is for an individual user, meaning only that named person can access the system. A "Concurrent" AppPoint allows any user to access the system as long as the total number of logged-in users doesn't exceed the purchased Concurrent license limit; essentially, Authorized licenses are tied to a single user, while Concurrent licenses are shared among users based on simultaneous access.
IBM estimates the ratio of new Authorized licenses to traditional authorized licenses to be 1:3. We have often seen customers running leaner than the prescribed ratio seen is most customers can push one 1:5, 1:6, even 1:20, depending on the customer-specific operating context and use case.
How will MAS integrate with our existing systems, workflows, and processes?
Absolutely, MAS is designed to meet your specific needs and workflows. APIs support integrations with other systems, such as third-party ERPs, reliability solutions, and mobile applications. You’ll want to be sure that any integrations you have are fully supported as IBM as well as other vendors continue to update their solutions. The MAS upgrade is an opportunity to reduce the number of brittle and risky configurations you have and ensure they are built to last.
How different is the MAS user experience and how long will it take for my operations and maintenance team and field technicians to become proficient with the new system?
If your team is used to Maximo, they will feel comfortable with MAS Manage. That said, there are improvements in the new MAS that streamline the user experience and there are new modules for your team to learn. IBM and Cohesive can help with change management to ensure smooth adoption across the organization, such as videos and user training.
Can MAS be deployed both in the cloud and on-premise?
MAS can be deployed on-premise or in private or public cloud environments. If you go the cloud route, you may prefer a self-hosted solution, which gives you the option to rely on your IT team or to partner with a third party. You can also choose to partner with a third party for managed hosting, which includes both hosting and ongoing maintenance and support services.
What are the hardware and software requirements for the new suite?
The way that MAS is built represents a significant departure from the previous Maximo Asset Management architecture, which used a traditional client/server topology. Instead, MAS has a container-based microservices architecture running on IBM Red Hat OpenShift.
The change improves the platform's core capabilities, security, and supportability. However, it also requires different IT resources and support models than previous versions. Let's say you had one Windows production server for Maximo 7.6 for 100 concurrent users. Now, expect that you’ll need to procure and provision five Linux production servers at a minimum, ideally six. Plus, an equal number of non-production servers.
How long does a MAS upgrade or migration take?
MAS implementation timelines can vary, based on the complexity of your system, including configurations, integrations, and choice of deployment model. Cloud deployment is quicker than on-prem as it doesn’t require architecture design. Working with an experienced systems integrator like Cohesive can accelerate your implementation as well as time to value.
For more complex MAS implementations, we typically estimate six to nine months and approximately nine to 15 months for full utilization/adoption. We have also implemented MAS in as quickly as two months.
How do we migrate our data from Maximo to MAS and what safeguards are in place to protect our data during migration?
To protect data during migration, you can leverage the IBM-approved solution, Cohesive Data Utility. Automated synchronization ensures data integrity and reduces risk of data being lost or changed.
During the MAS upgrade process, what downtime should we expect?
There are a number of ways you can minimize impact on your daily operations. For example, Cohesive’s Data Utility ensures zero downtime when migrating data so that users can continue working in the system until cutover. When you work with Cohesive for hosting, we ensure there is High Availability and geo-redundancy.
How do we test the new system to ensure it meets our operational needs before going live?
You’ll want to set up a test environment and populate it with data so that your team can learn the new sytem, test configurations and integrations, and ensure a smooth go-live. Cohesive’s Data Utility allows live data to be used in non-production environments so that information is fully up to date when you go live with MAS.
How long before I start seeing ROI from MAS?
While results vary based on the complexity of your use case and technical requirements, across recent Cohesive EAM projects, we typically see a breakeven point of 18 months. After three years, initiatives achieve 3.3X ROI. Organizations achieve a recurring benefit equivalent to 44% of the maintenance budget and 6.8% of the annual production rate.
How does the new suite impact system performance?
The new releases of the Maximo Application Suite (MAS), such as MAS 9.0 and the upcoming MAS 9.1, are designed to enhance the suite's performance and align with IBM's long-term roadmap.
MAS 9.0 aligns all applications, industry solutions, and add-ons to a unified version, simplifying upgrades and reducing the need for separate migration tasks. This ensures smoother transitions and better performance across the suite.
What is IBM’s long-term development roadmap for Maximo Application Suite?
IBM's long-term roadmap for the Maximo Application Suite (MAS) includes several exciting developments and enhancements:
Integration with Maximo for Real Estate and Facilities: This aims to provide comprehensive management solutions for real estate and facilities operations.
GenAI Assistant for Work Order Intelligence: Leveraging generative AI to enhance work order management and decision-making.
Adoption of WatsonX Technologies: Incorporating advanced AI and machine learning capabilities to improve predictive maintenance and operational efficiency.
Expanded Field Service Management Capabilities: Enhancing tools and features to support field service operations more effectively.MAS 9.0 and 9.1 Releases: The roadmap includes the release of MAS 9.0 and the targeted release of MAS 9.1 in Q2 2025, which will bring new features and improvements.
Get a free MAS upgrade evaluation