Shared Learning Library
Welcome to PEMAC's Shared Learning Library, a growing body of community created knowledge, built up and maintained by the PEMAC member community. Explore a range of articles, presentations and webcasts covering a wide range of maintenance, reliability and asset management subject areas. You can even find presentations from past MainTrain conferences and PEMAC Lunch & Learn webcasts.
To easily find what you are looking for the content of the Shared Learning Library can be filtered by both Maintenance Management and Asset Management subject areas using the options in the menu to the left of the screen.
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BoK Content Type:Presentation SlidesWebcastPresentation PaperBoK Content Source:MainTrain 2021Original date:Tuesday, January 26, 2021Often organizations order recommended spare parts as part of a capital project. While well-intentioned, organizations often end up with many parts that are not needed, while not having enough of the right parts to support commissioning and operation. So, if organizations can’t rely strictly on recommended spare parts form the vendor, how should the required spare parts be identified? A reliability engineering analysis should be conducted to understand the specific failure modes that the asset will experience during it’s commissioning and during operation. The analysis should also identify the likelihood or frequency in which the failure will occur. This analysis can then be used to specify which parts should be purchased, at which quantities. There are a few different analysis tools that can be used to assist with the decision, such as a Failure Mode Effects Analysis or a Maintenance Task Analysis. A Failure Mode Effect Analysis (FMEA) is the process of reviewing as many components, assemblies, and subsystems as possible to identify potential failure modes in a system and their causes and effects. Using this information, the analyst can recommend the specific parts to stock. A Maintenance Task Analysis (MTA) is the identification of the steps, spares, and materials, tools, support equipment, personnel skill levels, and facility issues that must be considered for a given repair task. Often is completed after the FMEA has been completed, but further refines the ability of the organization to plan for maintenance activities. Once the specific parts needed have been identified with one of the reliability analysis, there is another analysis required to determine the right level of parts to stock. Stocking parts cost money, not having parts costs money, so the analysis of the spare parts enables organizations to find the right balance. This presentation will walk the audience through the process of using the reliability engineering tools to identify the likely failures to evaluating stocking levels of spare parts. This will ensure that the organization can support the asset throughout its life at an optimized cost.Originally presented at MainTrain 2021
When a "Solution" is not a SolutionBoK Content Type:Presentation SlidesWebcastPresentation PaperBoK Content Source:MainTrain 2021Original date:Tuesday, January 26, 2021Most asset owning and operating organizations managing maintenance activities use a computer system – either a CMMS, or an EAM, or possibly a module in their ERP. Usually they want to sustain reliable performance of their assets to deliver high availability to their operations or production groups. These systems are often sold under the moniker, “solution”. Implied in that is the solution to some sort of a problem, one might imagine that it will deliver high reliability, or better maintenance practices, yet they don’t and can’t. Many have fallen victim to slick marketing, buzz words, and promises of functionality that are little more than dreams – vapourware. To get those practical business results you need to change what you are doing and how you are doing it, not how you are tracking it and managing the activities. Those systems do provide some help with data storage, reports, keeping organized and work flows, but they don’t help you define what work to do, nor how often, nor who should do it, they don’t do anything to ensure you actually do the work, and then record what you did with any accuracy. The result is often a system that is riddled with inaccurate, incomplete, or otherwise unfit data that can actually make work for, and be misleading to the system’s users. Interestingly, after seeing hundreds of different instances of different systems in a large variety of organizations, there are some common problems. If you are a supplier of these systems, you can probably relax now. Very few of the problems m have anything at all to do with the software itself. This presentation will explore the reasons for those disappointments and some of the possible solutions.
The Importance of Precision Maintenance and How it Greatly Affects IIoTBoK Content Type:Presentation SlidesVideoPresentation PaperBoK Content Source:MainTrain 2021Original date:Friday, April 23, 2021Maintenance strategies and practices have evolved. From reactive, preventative, predictive to proactive maintenance – all or parts of them continue to be used in some industries and plants but not all of them work. In fact, some of them, like predictive maintenance failed. CMMS systems have greatly contributed to the evolution of maintenance. It gave us better order & structure. It contains many records including items like a machine's assets condition monitoring (CM) history. However, in most cases, what’s not in it is the initial installation or commissioning report. As an industry, we often overlook the importance of the installation and commissioning report data. In many cases, it’s assumed that the installation was done correctly and that’s why predictive maintenance failed. All the CM data was incorrect because we were working off the wrong benchmark. In our experience, we know that there are still many companies who have not subscribed fully to the precision maintenance philosophy, which is: installing, maintaining and working to a recognized standard. One of the reasons for this was that there wasn’t one until the ANSI Shaft Alignment and Machinery Installation Standard came out in 2017. New technologies like motion amplification cameras are now game changers in revealing how important the machinery installation and precision maintenance as a whole is. Seeing and watching a video broken down at that frequency, showing a machine moving and vibrating excessively allows us to now pinpoint exactly what the issue is. Instead of only a select few who know specific CM technologies, this is a visual that everybody can see and understand that the machine has not been installed correctly. The introduction of the Industrial Internet of Things (IIoT) is a further step in the evolution of maintenance. In order for us to keep our machine assets running for their full life cycles, the initial precision installation, commissioning and continued precision maintenance practices must be done including the report the machines history before you can begin to collect data for CM analysis. If we don't do this, our maintenance strategy will fail like it did for predictive maintenance.