Maddy Hawkins
Director of IoT & AR Sales at Aquitas Solutions
+ 2 speakers
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LiveWorx 2020
June 9, 2020, Online, USA
LiveWorx 2020
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LiveWorx 2020 - Digital Transformation for Maintenance and Reliability
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About speakers

Maddy Hawkins
Director of IoT & AR Sales at Aquitas Solutions
Michael Hayes
Director Of Development & Lab Services at Aquitas Solutions Inc.
David Segal
Business Development, Federal, Aerospace and Defense (FA&D) Industry at PTC

Maddy joined Aquitas Solutions in 2014, and has been instrumental in establishing our branding and leadership position in the industry while leading our expansion into the IoT market. She is responsible for growing our IoT software and services business - quickly expanding into the Augmented Reality space.Prior to joining Aquitas, Maddy worked in sales and business development for various companies including a global CPG Manufacturer, a boutique digital marketing agency, and a growing enterprise software company. She has leveraged that unique background while at Aquitas to streamline sales and marketing processes, manage partner and customer relationships, and add to revenue through management of our marketing and sales incentive programs.

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https://www.aquitas-solutions.com/connected-maintenance

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Look everyone. I'm David Siegel Director of Business transformation from PTC funeral Aerospace and defense industry vertical and this part so firm Lifeworks 20/20. We will present CBM + 4.4 presentation for digital transformation for maintenance and reliability. Couple Force about myself. I am leading business development for f a n d in the severity College PCC bringing my 20 years experience in engineering and Manufacturing enterprise software Solutions and together with me today. Maybe Hopkins

director of I-80 cells from aqueous solution leaves that company's expansion into IRT and augmented reality markets where they have received several Awards under her leadership and Wiz Maddie we have Michael Hayes was the director of lab services and solutions in Michael Green's 25 years important development system integration technical instructions and Leadership experience and to equitas team article about Michael. As their expertise is IBM smarter solution for products

and in IBM Maximo, so we glad to have Maddie and Michael supporting our PTC condition-based management session today. Thank you for your support. And there for a two-day session we will divide our time equally I will start with the condition-based maintenance Solutions review. It's at and body preposition business model. Keep you eyes and some of the case studies and the team and Maddie and Michael will present connected maintenance solution in their

integrated sink work solution with Maxima maintenance information system, but most importantly they are demonstration have that solution that works. I would like to start with key takeaways which is in fact the key value proposition subjects. And the first one is digital path connected which is in the core of condition-based Maintenance solution that transforms time-based and usage based maintenance. You do predictive and prescriptive maintenance do connectedness use their actual in Practical method that their PTC technology enables and I will speak about it then quite a bit of just

driving away after that. I am and I do take away is the key promise of PTC CBM Plus Solution. He is that application and integration of appropriate logistic process technology and knowledge base camp abilities to achieve the target availability availability Operational Support optimization of systems acids compliments. Rosedale life cycle, so in short digitalization and digital continue 80 across multiple Logistics in service and repair systems and their integration

Integrations all together and you keep take away. It's actually about connected maintenance which is integrated with asset management system and maintenance information system, which is the foundation for Automation and simplicity in Sarasota radiation for those three takeaways from this session. And I would like to start a weave with a challenge and the challenge for Reliable sustainment and lifecycle management that I guess everyone understands and

the end we all experiencing and we would like to in order to position our solution in the best way. We would like to outline what this challenge is the subject of improving maintenance reliability quality and service isn't the new subject. There are multitude of relations practices systems and solutions that have been in use for quite a while. In it becomes really challenging to navigate between so many different approaches it become challenging for typical Maintenance and Service program to

practically plan what needs to be implemented how and in from what to start from one aspect organizations needs to consider performance-based Logistics, which was their DOD usdot Saturday since 1998 and 2014. And that strategy has been implemented by early as you asked me to train Tod map work and the pbl Escalade service level agreements for a certain equipment up time in performance wear and steel are the key contractual measurement quiz 3 levels of service. Another aspect is existing condition basement vents availability Center

maintenance processes and practices which included into a Logistics in material redness and put some air supply chain system. So it's it's a very wide area offer different practices for immediate the first scheduled maintenance actually what builds this preventive maintenance practices in the Enterprise asset management system Vandal based or Legacy base that homegrown systems or and some sort of service department been system swears in Sarah Spar beta in Ventura Management systems.

And the question is how do systems really contribute to condition-based maintenance. Do they need to contribute to condition-based maintenance? Another area is dead sister organizations in to implement health and music monitoring systems, which became very popular and acids performance management system. And again, the question is how do systems really connected and Country Beauty to condition-based maintenance process. Keeps objects for Reliable sustainment such an operation of availability Mission Readiness availability Logistics response time

total life-cycle costing usage / cost per unit of use a gym for district footprint. They have been outlined in the dod regulations in 2005. Then it has been revised in 2009 for cost rational but still in general the challenge of complexity in implementing condition-based maintenance Remains the Same in DOD introduce diesel engineering strategy that brought digital aspects to compete with basement plans with digital infrastructure, which could be a cloud systems with

Digital Data with models extensibility was innovation in mixed reality. And this was actually Influenced CBM policy in such way that the dod issues recently instruction 4151 for CDM Plus for material maintenance with cycling complete revision for their previously published guidance, IL playing this journey to make emphases that PTC technology for digital and physical conversion. He's perfectly positioned to address this evolution of objectives for Reliable sustainment PC experience being a leading technology company in Industry 4.0 domain with

portfolio of innovative tools, which has been used in many defense programs and was Innovation industry commercial aviation industry v s is a good partner in digital transformation Journey for condition-based maintenance solution. and promoting this solution Can we name one aspect that would explain why so many great rules in good Solutions didn't bring the desired outcome for reliable sustainment maintenance service in boss in defense of military domain as well as in hemorrhoid commercial on vacation to Maine. That

subject is time-based or usage-based maintenance aspect that if we are seek full there exists in that practices oil based on time on your usage, whether it's time Base maintenance, including all the schedule planned and periodic maintenance and repair in corrective maintenance. In fact o practices. What is pbl quality safety they all today based on time or usage. Which bring us to the fact that a preventative maintenance which is based on time and usage crateria leads us to the problem of over Man painting. It is hard to obtain metrics

for the value of preventive maintenance that we use inside from to analyst firms who assists of Statistics from actually different industry of different groups on how preventive maintenance performs what the what is value in it shows that 40% of scheduled maintenance costs are spent on acids with negligible FFX on Uptown Theater, which means that actually 40% of cases scheduled in 40% of cases scheduled maintenance has no impact on assets tailors. In fact Another metric 30% of Maintenance activities are carried out too

frequently. And we all know that in order to save some money that we spoke into their frequency of the maintenance activities and it's always a risk to read use this frequency and they're finally we can see that about 18% of Assets. In fact have an age-related Fila problem and more than 80% of passes. In fact their failure appears random besides all that effort for preventive maintenance. So what really we can bring to innovate and modernize at condition-based maintenance having the complexity of the multitude Solutions and enormous Investments over the

years that have been done in this domain. Mptc technology that enables digital twin in which software connectedness is the right approach. In fact, if I would like to leave you with one word out of my portion of this presentation, I would use the word connectedness, which is in fact, this is my key takeaway number one. So the foundation of connectedness is industrial internet-of-things PTC industrial internet-of-things platform thing works enables Automation in connectivity between assets machines devices sensors servers

ID service and different data sources, you can enable in a dress very broad scope of condition-based Maintenance use cases starting with acids health and performance monitoring with real-time alert and fault identification with maintenance planning and optimization with the tracking with maintenance production execution using Shield. Memphis reality is technology for digital assembly and the maintenance inspection and also using real-time production morning touring

dashboards. Corporate Inn in Connect different use cases form supply chain and Logistics using a spear Park management of service Park Management systems with inventory optimization and also including sterilized parts. Eustace is from environmental health and safety procedures can be automated am connected using a quality and test use cases for a feeler reporting corrective and preventive actions procedures could be included into this condition based management framework as well and finally from

engineering perspective weekend include engineering and Manufacturing data different bill of materials for petrified a change management even including reverse engineering for factions Parts. He has input and output from air condition basement and maintenance framework. I will not go over all those use cases in these presentations isn't it in this representation at some of the case studies later in my presentation will showcase some of those use cases and certainly organizations today are addressing those use cases already was there all processes different play

the Sea Systems and their own best practices or what thing works Internet of Things connected. This brings is the ability to aggregate synthesize and orchestrate maintenance services logistic data in order to make the move from time in usage basement plans to the actual real predictable condition-based maintenance, and that's again the goal of presenting this solution. Sao Paulo g-wiz connectedness enable condition-based maintenance in the way how it is

defined as the maintenance performed based on evidence of neat, meaning and maintenance performed only when it's needed based on different conditions. So how did he see CBM + 4.0 solution enables conditioning preventative in predictive maintenance through that connectedness first dissolution integrates existing preventative men at maintenance capabilities all their ability Center maintenance all methods and oldest still existing material redness and pbl methods integrate them quiz, real-time operational data and

different plants and animals. Captured school, they're real time sentences using condition monitoring using acids and tools Health monitoring using prognostic fault and feeler prediction in actually applying data analytics and artificial intelligence for building prescriptive maintenance dashboards and decision-making were closed and an old cost analysis and procedures. That's one aspect of integration. Another aspect is interoperability. Which is a unique ability of thing works iot platform not

only easy grade, but also enable interoperability between different systems bike maintenance information systems and different asset management system quality and risk management system deep wore his hair store warehouse for Qdoba order Erp systems and also engineering system. So it's not just integration which in many cases just static data exchanges between system but interoperability. In fact, what makes that data actionable Dynamic and operation So a

solution building blocks Market temperature I call this diagram and marketecture is a good illustration for over 50 cc beyond plus Solutions framework from the left lower corner at all this light so you can see a different data sources in Enterprise systems of record solution. He is at enterprise system of record agnostic meaning you can't include an integrated in your pee system any Legacy masturbating management system or any maintenance information system. In fact, the second portion of this

presentation, where is the aqueous solution? They will show how warm will be connected to Maxima maintenance information system. I am even though PTC has its own product lifecycle management system or service Park management system, which are systems of record. I barked those Technologies as complimentary technology because they are not essential for this condition basement spray work. What is what's in Foundation of this diagram is a thing works iot platform that Andre Gates and synthesizers hold it.

Data coming from enterprise system. So as well as real-time data coming from sensors from acids are deployed on the field wore a different air sensors deployed in the manufacturing or Depot facilities and this data get synthesized orchestrated. Put into analytics engine and machine learning for trending an oddity can a latex for a troubleshooting analytics and assets performance or time analytics which can be captured. He has granted reality cameras and pushed augmented reality to the field or

can be presented as part of condition monitoring dashboards to those who are in the Depo monitoring fellow prediction in what if analysis and in actually in orchestrating all this decision support workflows for condition maintenance, so that's essentially the overview of them. The solution is showing at the overall solution, but the question Still Remains how to implement it and what to start. The CBM Plus Solution is a modular in open framework which which is actually differentiates the pccn in our solution from any other vendor solution

today in the market. So the solution can be implemented according to organizational priority is goals and abilities for instance organization. Some organizations can decide that they would like to implement this CDM Plus Solution from Edmonton to the party line working technician point of view and then some organizations can decide they would like to capture Time Internet of Things sensor data aggregators data and represent those bag boards in order to monitor health of their assets and

devices and provide some root cause analysis of different fillers and predict those Fellers right away result for instance aggregating or integrating this data into are the systems of Records actually stopped in Universe order. They would the first see how their existing maintenance Information Systems Erp systems can be integrated into internet of things and platform how that Digital Data can inreach some sensor data from the field or from there. Repair

workshop and see how that can affect a condition basement plans from this point of view and finally some organizations. They would their position their legacy Data Systems first and see how existing procedures for preventative maintenance that they perform today can be it enhanced with some of their that connectivity to acid soap up our solution framework supports any point of view of implementation or any use cases that actually I presented in a couple of slides in my area. as an illustration for

it isn't your station for they sell integrated scenario. We integrated scenario School several systems. I would like to bring this example of an asset maintenance a procedure that could be actually a proposed as a baseline for many of our customers and in some of the case. Unless you will see you in 5 that they follow Of Mormon lesson the same approach so when it starts from monitoring assets health That can be done with this thing works if platform you can see we I include their logo thing works platform then investigate the other condition

based on different type of shooting at analysis and different trends that can be analyzed with the thing works and latex models sold those model skin show very clear that feeling of condition condition According to which can be delivered through the systems. Then those alerts can be pushed into their maintenance information system in order to schedule maintenance activity. So that's can be done any maintenance information system. Then plan for pants availability for this maintenance activity can be done using PTC Sierra Sport management system and connected service management system servigistics

iTunes logo all of this product today here as well. Then we use augmented reality empowered with Internet of Things That Feeds for execution of the maintenance when the procedure how to execute the maintenance is Guided by and by technology and also using augmented reality. We can actually digitalize at work instructions and work procedures for a part replacement and actual Santa Rosa maintenance procedures. Finally connectivity to Engineering Systems will enable updates for esmont and I asked you

how lized as serious as balls and that finally oldest second option raids Theater 8 analysis corrective and preventive actions can be a used in in the PLM system integration as scenario driven by on acid maintenance yusuke. Yeah, and then you see that scenario can be skilled up across the supply chain when a different touch points with the supply chain systems can be done. For instance for there a spare part of Eligibility and that's on acid maintenance procedure can be Are implemented in in different proportion across the

supply chain. So unfortunately in this Mutual pre-recorded event I can stop for a questions. So I will go right away to speak about the condition-based maintenance business bios key performance indicators and I will summarize Capital case studies for customers who implemented in used our solution Netflix that we captured from a pilot project in production projects from our customers who use condition-based monitoring for predictive maintenance using Internet of Things platform thing works in that two aspects of those key performance indicator. Why don't

I would call them generic and then more Mexico a performance-based logistics kti's which are outlined in all their policy and regulations so we can see that overall condition basement men's deployment would lower the cost for a for a maintenance procedures more than 40% improving productivity improving business processes. Most importantly. I just want to highlight this 91% accuracy in predicting alarms 24 hours in advance when filner actually happens. I will have one case study that

actually support this metric another interesting at metric is 35% reduction in unnecessary Parts exchanges. I guess every service organization struggle from the aspect of Sorry pricing changes in orders and inventory of do they even Implement inventory optimization are procedures and thereby also implementing. This event will have tribulation procedure. They can gain even app to 20% additional savings. From PPL kti's we have been reported for my Sam of there a pilot projects that we

want to be our technology like 20% increase in first-time fix rate or 10% acid halftime increase for operational availability reduction in meantime to repair which is quite clear metric for the success of this type of solution. Which means it's almost no brainer how to implement this ID technology for condition-based maintenance and then a couple of examples of case studies. I would like to bring Eleganza technique as is a large Emerald organization that Are

are are implements. They are digital transformation with the TTC windshield PLM system and thingworx IRT system Portal guns a technique to miss integration between windshield thing works will enable new levels of collaboration both internally and across their supply chain are windshield pln will serve as the engineering bag board for to enable R&D and Manufacturing to work concurrently, which is by itself quite a big challenge to make engineering and Manufacturing Whatcom County employee and also a through

their secure data repository intellectual property access and that are in the environment will be integrated for inter operated with their thing works in Camp wear based IRT condition-based. System that created the fully connected shop floor for real-time assets Health monitoring and predictive maintenance to improve quality and speed of maintenance repair and overhaul services for Lufthansa of this is a generic and then we will be glad to provide more details for any case studies. So, please feel free to reach out with those questions and not an

example of coming from our demonstration project that we did for Oscar defense and presented at 1 last year Lifeworks where they are and labeled condition-based maintenance procedure was created for Oshkosh jltv first we created The scenario for emission Readiness are post in 3 mission inspections for a war fighter and maintainer in the field how to actually a s s a different conditions for their field maintenance and service for the week ago and then how

to scale-up this information for connected Fleet Management for a service operation manager or quality and reliability manager when all different trending and troubleshooting analysis. What can be created this information? In fact Kim speed up different other scenarios like using generative design for reverse engineering and for immediate Parts additive Manufacturing in the field validating those additive manufacturing Parts through their designer. You

and then actually enable work instructions to replace those temporary additive manufacturing parts for Replacements in the field. So that's a demonstration is he's available and there will be posted. I just want to bring some istration from the reality of you on handheld device when the vehicle operational the information presented is one summary. What is 1 salary with the conclusion whether it's a mission Camp about or North Mission capable and finally ended value that the Oscars defense

Army could actually use and drive from from using a condition-based maintenance and thing works for acid self. Reporting incentive-based condition data is is very important and we can see that it can be scared to the not just for one vehicle, but the entire fleet so it may drive this usage driven redness decision based on real condition and reducing vehicle downtime in First Coast enhanced Mission planning and the actual are predicted Madness instead of a preventative in schedule me. Another

case study coming from UAB manufacturer for whom we did a pilot project for assets Health monitoring for engine Health morning touring in the UAV wear sensor data was a Contraband Gunther from equipment on board Wireless in various modes in Flight Mission pre-flight Mission and redness takeoffs and landings. All this data was not obviously streamed from the set a UAV at all the log files. Where are stored on board and then downloaded into Steamworks bass CD system.

Steamworks analytics analyzed and created real ability models for a 500 flies with 18 critical failures and their goal was to analyze those feelers and come up with the model that would predict and raise alerts and alarms 48 24 hours prior that actual if we've been sailor will happen. So that's actual predictive maintenance objective. I included here and it's strange word for a thing works dashboard for the engine Health monitoring shows that different engine anomalies have been recorded in the system

and then Trend analysis and assets performance overtime was analyzed by thing works and finally he's gifts. The 91% over 90% accuracy on theater prediction 24 hours prior that actual sailor of that engine would happen and that's how you can see this happening on the dashboard and oversee. This is kind of internal dashboard that are used by there at Mission Commander. But certainly this date that can be utilized in different user experiences as well. Yandere simulator project

project We performed for general atomics which again was showcased in our previous Life Works the session and the same principle from assets inspection acid overview condition assessment inspection technical support procedures through Memphis reality than redness assessment and return to service. So that's another another use case. Conclude here and my portion of their presentation for condition-based maintenance plus four point or PTC solution. My colleagues from equitus will present connected maintenance used skis with seamless

integration between thing works iot platform and IBM Maximo maintenance information system. So I would pass my presentation to maybe Hopkins. So maybe please continue in a short amount of time. I'm Addie Hawkins director of iot sales at aequitas Solutions and you're also going to hear from my colleague Michael Hayes who is our director of development during this presentation. So what I want to focus on today is really how we've leveraged thing works to build a solution. We called connected maintenance which uses a two-way integration between thing works and

your maintenance system to drive action. Awesome background aequitas of the company and then we're going to touch on a couple of fundamental principles within maintenance that are just critical and understanding how to be successful with this type of implementation and where the value is with iot. Then we'll look at a quick overview of our integrated solution before jumping into some use cases and demonstrations and then we'll wrap up. Aequitas yet. We were counted in 2006 where is service-disabled veteran-owned small

business based out of Atlanta, Georgia that are employees are all over the country. For example, for example, I'm located at in Virginia if there's any fellow Virginians listening but her background and expertise really lies in the maintenance and asset management space from the beginning. Our core business has been focused around IBM Maximo Asset Management solution and our Consultants average over 14 years of experience in that space But around 2012 when Michael came on board and he came from IBM where he been working on the original add smart are buildings smarter cities teams at we

launch what we called are smarter Solutions, which were really earliest visions of what iot could look like it was maybe a bit early to Market that we kept that iot Vision in our strategy and continued to evaluate how we could meet the needs of our Maximo customers who wanted to connect all of these external data sources and de Maximo. so in 2017, we officially partnered with PTC and then in 2018 won't start and it rated connected maintenance solution for Maximo since then the side of our business has just continue to grow and expand as we have quickly moved into the augmented

reality and make the solution available for customers using other maintenance Solutions outside of just nexmo our strategic Partnerships are also would have been labeled as to continue to grow working with the best-in-class technology from globally-recognized companies like IBM and TTC. And then again, we also recently engaged in a partnership with Arrow Electronics for a mini customers who need help with sensor procurement and installation because they have a significant amount of Legacy equipment that needs to be connected and also since launching are connected me in

solution in 2018. It's received a tremendous amount of Industry recognition. Most recently placing silver for maintenance solution product of the Year from plant engineering magazine. I wish we are still very excited about Let's go ahead and dive into the fundamentals of iot maintenance. The first thing you need to do is forget the old idea that failure patterns follow a bathtub curve with a higher failure rate in the beginning or end of the asset life. Because the reality is that 82% of all failures are in fact random, which leaves maintenance

teams constantly left in this reactive State trying to manage these unexpected failures. So, what does this really mean to me then? The reality is that this constant need to respond to these random failures makes it really difficult for meeting its organizations to keep up with even just your basic planned work. So unfortunately right now most of the customers we talked to really fall into this reactive category on the right and the question then becomes how can i o t help us move up the curve to eventually become predictive. And first we need to understand a couple of

basic maintenance truth. The first one being the most efficient maintenance is maintenance you don't have to do we may be sitting there saying that's great now you but how do I maintain the health of my assets without actually doing maintenance? And the reality is that within maintenance there are many cases in which were over maintaining our assets not to mention Everytime We Touch an asset. We introduced the risk for failure. So first we need to start by looking at the maintenance strategy on our assets and evaluating the effectiveness of that strategy and it

starts with that answering these four basic questions. What time are meter base PM's are being executed how much time is being spent completing those p.m. What is the failure rate on those assets despite these cams being done and what's the cost of failure or unplanned downtime on those assets and then we can begin to understand where the opportunity is to eliminate some of these non-value-added p.m. Activities. And I challenge you to ask yourself. What would that mean to your organization? If you could reduce your preventive maintenance activities by 50% how many

labor hours would that actually free up for you? Truth is that not all assets will fail not all asset failures are equal. So one of the most challenging and actually daunting tasks and implementing and iot solution in my opinion is figuring out where to start and understanding where you can find. The greatest return on investment is critical for both the short and long-term success of the project. High-value High Roi opportunities within maintenance. We really focus in on two key asset categories low cost low impact or high cost high impact assets.

So low cost low impact. These are two assets that require frequent manual intervention inspection or other kind of interaction. And while these asset failures may not be costly or have a critical impact on operation. They typically happen more frequently. So we called me is more of the death by Papercut type scenarios and to give me an example will take a look at a steam trap failure. For example, we estimate that a steam trap your cost averages about $4,500 and someone typically has hundreds of steam traps. So if we in this example estimate that just 50 failures happen in a year on

steam traps that would create an average of about $225,000 in Failure cost on those steam traps. This is a perfect example of a very simple use case that provides fast time to value and Roi on one of those low cost low impact asset types now and looking at high cost high impact. These are the assets that do have a catastrophic impact on operations quality availability or cost of a failure occurs. These failures might be less frequent. It could be that this asset sales once per year or maybe it's once every three years or so, but when it does it's catastrophic, so in this

example of a separate or motor on a critical piece of equipment for one of our customers and single failure is estimated to cost $125,000. So in this example, even if it failed one time and this year, it's obvious why monitoring these high and pack assets is critical even without a failure. But really the key takeaway here is that there's a huge opportunity in both asset types when you look at your strategy and how you roll out and iot solution like this. Soda, bring it back to the PS curb eliminating our non-value-added p.m.

Activities and monitoring those high value High Roi assets provided clear path from being reactive to proactive while providing a Baseline and foundation and data capture necessary to eventually truly become predictive. All right. So now we're going to go ahead and switch gears and take a look at what the actual solution looks like. I'm going to go ahead and walk you through what a generic typical connected maintenance framework looks like for a maximum customers to give you a bird's-eye view. And again remember in this can eat in this case. We're going to use Maximo that it could

be any Mac any maintenance system. So starting out on the left here. We have all of our critical assets and different data sources Weatherby sensors data system is a historian other leg platform on the right here. We've got Maximo I'm or your other maintenance system and the question is always been and again, it's not new but how do we effectively get the data from our critical assets in our forces over into max mode to create the right action to address any problems and the way we do that is thing works first, we're able to aggregate all of those data silos into thing

works and then we're able to go through that anomaly detection rule creation and analytics to be able to identify when something is not just unique but problematic. And then kick off automatically through to a emigration and Maximo the correct action for maintenance to be dispatched and address the problem. Now one of the most important factors in the success of that integration though is eliminating false positive or duplicates. And in fact, it's one of the most commonly asked questions that we get when we start going into these implementation conversations.

We do this by creating what we call recipes for failure which are essentially simple or complex rule parameter setting thing words meant to identify a failure before or immediately when it occurs to be able to trigger the appropriate action in your meeting system. And really the starting point is asking these three basic questions what problem are you trying to address? What I said date is available and what's the action needs to occur but also through our integration with connected maintenance were also including Maximo data or your maintenance dated and your recipes to check things. Like if

this asset currently active is there currently an open work order on the asset. These checks are really critical and filtering out duplicates are false positives. Now give me an example of a simple and complex recipe simple recipe may look at one condition with a basic brush hold like in this case we have to recipe levels at the temperature drops or two times in an hour we want to create a service request. But if it's more than four times we want to create a work order because that indicates to us that it's more urgent on the complex side a complex recipe. They look at

several condition variables are systems like if RPM drops and current increases in this time. Take off the service request, but if it happens 5 times in 2 hours again, we know it's more urgent and we need a generator work order. It. Let's go ahead and talk about specific use cases and demos and I will ask you to bear with us through this section. We did have some technical and scheduling challenges. So the demos were recorded Live Again by my colleague Michael Hayes, but they will be played as videos as part of the presentation. So let's go ahead and jump in. Starting out with

the most critical use case and core functionality of are connected maintenance solution is really the ability to drive these automated actions in your maintenance system. And the demos were going to be showing we're going to be using Max now I bet it could be another system. So what Michael is going to show you it's how we can monitor asset conditions and trigger a work order in Maximo in real time based on our recipe for failure include other value-added automation options, like including a job or safety plan or a failure code or inventory Associated or labor resources needed. So, let's go

ahead and take a look at what that look like. I really deleting is a little bit later but let's just go right to maximum work orders. And as you can see here currently this particular motor does not have any work orders. And what you're going to be looking at is set up. This is a real life. They hear my thumb thumbs up there a little bit of amusing a legacy here. This is a iPad and this is a demonstration motor that I have for this just to kind of give you a little

bit for the demonstration purposes what you see here is this is a motor that they represent to a variable speed drive or can just even be a single Drive motor and I also have some control over here that are going to put some while load on the motor so that we can simulate a specific condition and this is a Allen Bradley PLC controller that we are hemp. Directly connected to the favorites platform and I'm getting real team time data. So this day know that you're seeing up here in these these bubbles on his real time and we're going to have a

condition. So let me go ahead at this point know this may be a little bit loud. Hopefully, it will not too much, but I only run it for a few seconds and we should be able to cause my work order to be generated in maximum. So let me go ahead and get that started. And I am using my device hear another iPad actually start the motor and you will see the numbers changing and I will find a table there. Family go to level one. the number to now we're going to get there going to turn this on too long.

more time Oculus Quest Okay, then the reason why I wanted to do that was just to show you that as part of our connected maintenance solution. Is that not only are we looking at the motor but I just caused this particular in this case. It's a danger a current has reached its upper threshold. But one of the things that I have to do an integration for quite a while it and this really a lot of this isn't necessarily new. It's just more of how hard it is to get the

information into Maximo and then how it's used in maximum. But the biggest thing is doing is is that every time a an alarm occurs in your in your in your system in the on the sensors and controls an area? We don't want to create a work order cuz even have sometimes that goes up and down. It bounces it goes about it comes back down it goes above and then every tight or or it may be that is constantly alarming we don't want to create a work order for every time the sun. Because then we'd get a bunch of work

orders. That's all the same as part of that a reason why I wanted to show you that I didn't multiple time is because it only creates a single worker that's part of our solution is that it's goes and does a bunch of checks and says first law is this asset even active because if it's not active or if it's currently being worked on the reason why we're getting that alarm. Is that where they're doing possibly doing some stress test on this particular motor. So as part of the solution that we have with Maximo is that time we will you be using the thing which platform we're going to Max no getting

data about to ask that getting work with her information and saying only create a work order if we are in a real my running State and as we are in this particular example to go to full screen here so we can see more Country here. We just created this work order. I'll let's go ahead and go double click on it. It takes you right over to Maxwell and here is that particular work order that one of the great things about this is well. It is with the integration that we created here is the thing works alert name and what we've done is being able to you built us spent at I'm

building this a recipe then if you know, what is what this alarm what causes this alarm then you can go ahead and create with it. Joplin say, well, I know exactly where danger High current plan that I want to associate with that work order. You don't have to go out and try to figure out what your plan it is. You don't have to take that that manual effort to do that. You can assign a job play with that specific alarm. You can expect you can assign a failure class and a problem code and and and or you can do it manually either way it gives you that

Flex. And in this case, I did want to put in the failure code but not the problem allowing the user to to answer that but again, but when it entered these when these job plans were created as part of the integration Hilliker implants and sure enough for all of the tasks that you need to do to take a look at that motor and Inns and find out why are we having a high current condition? But also we are adding a little bit more information to let me go ahead and go to the laundry scription and now I'm going to make this bigger so you can see it better. But what is allowing you to do as well

as getting some snapshot information about the environment and that and what was going on with the in this particular case the motor have to sign with that the that the alert to play and one of the first things you may notice here is that I have all here's our condition gives you an exact so we're we are definitely pulling Was definitely a way above our threshold. We also connect directly into you can do this as a historian Ori and and look at stuff for a book you in the thing works platform as well to look at history this thing in this case the first

time I've done it today, but it's happened several times the past 2 hours. So this isn't the first time that this has occurred, but we can go back in history and it tells you something that says well this has happened five times in the past 2 hours and these are to configure Bowl parameters. You can put in there and this can either be part of your rules for only send me a text message and if it happens once an hour, but if it's thing is this thing is starting to get past the threshold three times in an hour or two hours or 24 hours. Then I want you to generator

work order to avoid here and have you have better control over eliminating false positives. Sometimes things just occasionally. Well, just either during startup that that's a certain values will go out of normal running operating parameters are thresholds and we don't want to be notified looking at this and seeing additional day that what was the motor is going on. Just limited to this you can actually set it up so we can look at related accept data and say that while the people doing this what is the valve position is Downstream in allows you to get more information. And again, it just helps

to determine what is the root cause of obtrusive specific situation. Next C's case we're going to just got to the automated and Vance meter reading a frequent question that we are asked for. My maximum customers is how do I get data from a historian into Maximo to populate meters and because of the ease of integration to external systems, we built an application using thing works to more effectively connect to and manage meter readings. It's so easy. In fact that when we look at overall level of effort required to build a custom integration from a historian in to Max

know for example, the cost can easily reached over three times as single thing works license with only a fraction of the functionality so thing works really significantly simplifies the process required for setting up tagging an automated meter readings, but they have previously just been taken manually plus we can also see that historical reading data and of course generate a preventive maintenance work order based on meter meter rule parameters we needed so let's go ahead and take a look. We're currently using maximum meters today. Most people are going in taking measurements

writing it down on a piece of paper or dad or some of or a clipboard and then having to go in an entry in a meter readings and max amount of times. It's one of the reasons why that people don't use that matters as much as they could is because that many process when we made that a whole lot easier and the aspect that this particular table here is reading the meter table over in Maxwell told me just a really quick go over here to the outer set. Your maximum is my dental motor go to go to meters active.

But these are the exact same meters that you see stuff. I didn't look at temperature. For example on you'll see that when we just ran this well actually has been running all day that the last time that it rang and I have this going twice a day at 7 a.m. 7 p.m. That updates as meter reading that it was done. I'll just recently cuz I show you a few minutes ago. I press the button to force them but we're getting meter readings automatically from the thing work platform and how we do that is here. What time is in here you go to maximum. It will automatically populate. It uses

goes over grab the meter readings for maximum shows up here. And then once they're here to associate a meter to a maximum memory and that is that you have this meeting here is a list of all of your tags in your tag properties. All you need to do is pick it. So in this case I get Section pressure for this in pressure update and turn this on. You're done. It will begin immediately go in and start based upon your schedule will begin to do meter readings and Max.

Now we're going to wrap up by looking at a couple of examples of use cases that digitize an automated manual processes maintenance starting with one around oil analysis in this example. We had a customer who was sending oil samples from your gear boxes out to a third party for testing and they receive a CSV file back with the results indicating which samples were clean dirty contaminated whenever the result was someone had to physically take the time to analyze that report and create the corresponding work order is needed. So what you're going to see here is how we built in the

intelligence and thing works to easily upload the file in automatically take off the correct work order which really can cut the time required to analyze and create the corresponding actions from these reports potentially from ours down to a matter of seconds as you are about to see So what we did is we have a CSV file. We took their files so we would go in and I have a sample of one of their files here. I got it. So here's the file and then I upload it. We do an analysis and here's here's that file. So what is doing is

it brings it in just like a spreadsheet in Excel spreadsheet and then but now here's the problem cutting this is exactly what they would have to do manually normal normal or what we've done is that being able to do this oil analysis and you could have began at this point in time. It would go through scan it and would create a work order in Maximo based upon that based on this condition. All right, the last example we're going to share also falls under this category of digitizing and automating a manual

process and it's around what we call Ground sheets are some people call me field sheets, but regardless of what you call him organizations do still use some form of paper round sheet that requires their technicians on a scheduled basis, whether it be daily or weekly to go around and check some type of condition and record and record the value. It's an extremely inefficient process that not only requires a necessary labor hours. But most of the time when we ask what happens to those papers, do you know what the answer is? Nothing, so we leveraged

mashups and thingworx to basically just duplicate white paper round sheets look like to any will the immediate data input that can trigger alerts and warnings in real time and then significantly improve the accuracy of recorded data. And of course, then we can also start using that historical recorded data to become more productive. So let's go ahead and see what round sheets can look like in thing works. What about assets that are not monitored? What about assets that are not are not censored or they're in remote areas where we can't get to them a very easily and so what about

the manual David that we're doing or what we call this field sheets around sheets. What about that? Is there a way we can consume that and of course answer is absolutely so let me give me an example of a customer that we did on this as well. This is more from an energy company and inis Energy company we created these field sheets specifically for me at this is a Energy company that had the cooling cooling Pond and they had tons and tons of measurements that they had to take everything from a

pump clean out the bizarre murders that the general inspections they looked at their sump pumps so they had different checklist that they wanted to do. So, let me give you an example of one what we did is being able to use and now there's a Using their they can use their mobile device or in this case. They they use some tablets to be able to see this information and it looks pretty simple. We wanted it pretty simple because again, you're going to be on a mobile device, but you can see this is one of these is one of these

facilities and this is one of these cooling ponds and lakes rowing here. You can see here's one of the pumps plant pumps, but they have all these different measurements. They have tanks that are over here. Everything is our tanks that are here that there need to do measurements on the also have these little Retention Ponds as well. But the main thing was that these were things that were remote it's great to see you there. Yeah, we can do these types of readings and thing works by creating a mash-up but really

the problem is solved for this customer was that they were actually doing these menial readings on You're so their technicians were going out every single day with a pen and paper recording these readings and then when they were done that day, they would hand in these papers with all these readings that that many times. They were also getting incorrect readings at their writing down that someone else would then look at Trident analyze and turn into a completely different Legacy system then perform analytics on it through a completely different system and if an issue with identified

they could they would then have a third person manually enter in a work order Into Thin Air into Maximo and so by doing it this way and being able to just directly enter the information into thing works for analytics in the recipe for failure. We can trigger that work automatically and completely eliminate we can automate that data capture and action process so much easier than what they had before and that's the goal. You know with all of these has two to automate processes. That wear weave. And efficiently leveraging all this new technology

is just going through an inch of this data here is that when you enter this data and through a mobile device of this nature it goes in and is and it is truly a damn thing works as if it was a sensor. I was just as Maddie said now that date is in there. You can apply it to anyting. So hopefully those for example of gave you some ideas of real use cases that can provide value and transform the way you fundamentally operate. So I wanted to close with this quote from one of our connected maintenance customers. As for us Simplicity has come to mean a single manage source for all of our monitored i o

t reliability activities and for us that's horses thing works this digital transformation Revolution that's currently taking place means that the market has become flooded with new sensors iot Solutions in Cloud applications many of which have similar alerting and Josh Gordon capabilities. Sometimes it's hard for me to keep track of all of them and what has what capabilities but the challenge do is no one wants to have to log into 5 or 10 or 15 different platforms to see information or see alerts on their critical assets. So thing works helps us bring all of this information into one

place and have alerts from the various sources in one place and then threw connected me. Your maintenance team will be able to react to problems in real time with the right information. If you have any questions or would like to discuss any of the topics from today's presentation, please feel free to reach out to me directly. My contact information is on the screen. I really appreciate your time today and we invite all of you to join us in building a smart reliable and connected future together.

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