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 2019Original date:Sunday, March 8, 2020As the influence of the asset management approach continues to expand within Nova Scotia Power, we need a structured approach to ensure we continue to seek opportunities to optimize maintenance strategies. In a new installation, techniques such as failure modes and effects analysis (FMEA) and reliability centred maintenance (RCM) can be used to develop an optimized maintenance strategy from the start, in a top-down approach. However, the vast majority of Nova Scotia Power’s equipment was in place long before the asset management office—and, therefore, the asset management approach—existed. The result of that is a collection of value-added, but developed after-the-fact maintenance strategies. Each maintenance strategy has components of operator surveillance (rounds), testing, predictive pattern recognition (also known as advanced pattern recognition, APR), predictive maintenance (condition-based monitoring and risk-based inspections), online monitoring, and preventative maintenance. While efforts had been made to “baseline” the equipment processes when maintenance strategies were developed (i.e., “clean out” existing activities), the organic growth of the approach and the distributed nature of assets and personnel have made this difficult to maintain. Therefore, we needed an approach to optimize existing maintenance strategies, without recreating them. Nova Scotia Power has therefore undertaken an effort known as maintenance strategy optimization, and has made this activity a core accountability for the asset management team, which recognizes the need to seek continuous improvement (vs. a one-time exercise). With a focus on digitization wherever appropriate, Nova Scotia Power has asked a number of questions to streamline, standardize, and optimize its maintenance strategies. Is there opportunity to reduce PM frequency? Is there opportunity to collect more information such that we can strengthen our APR models? Can our in-house standards be revalidated to sustainably reduce operating and maintenance costs? Nova Scotia Power is answering yes to these questions, and more, and pursuing opportunities to optimize its maintenance strategies—from the bottom up!
Democratizing Predictive Maintenance through the Industrial Internet of ThingsBoK Content Type:Presentation SlidesPresentation PaperBoK Content Source:MainTrain 2018Original date:Wednesday, February 28, 2018With all the talk about big data and the IIoT, many are asking how can we use this in maintenance? The IIoT enables us to put sensors in any location where we might want to collect and analyze equipment condition and performance data. There are companies that offer predictive maintenance services, and some companies do this for themselves, in-house. Typically, it’s the larger companies that can afford this, but democratization has meant this has become available to a much broader market. But there are hurdles to taking advantage of this sort of continuous monitoring program, even for your most critical equipment. One, it’s expensive, whether you do it in-house or outsource. And two, there are data bottlenecks. Condition monitoring data comes is huge volumes and it’s all time-sensitive. Even if you can afford it, you need a data handling network with a lot of capacity. In this workshop, we’ll present a viable technical solution to the data bottleneck problem — based on a solution already proven in financial securities markets — that opens up these possibilities in the realm of plant continuous condition monitoring.
Debunking Risk Resiliency by Implementing a Risk-Based Maintenance StrategyBoK Content Type:Presentation SlidesPresentation PaperBoK Content Source:MainTrain 2017Original date:Tuesday, April 18, 2017Due largely to the release of ISO55000x:2014 family of standards, Asset Management is gaining worldwide acceptance as a valid business practice for asset-intensive organizations. The challenge that organizations now face is how to operationalize the principles and move it from “being understood in theory” to being “the way that we work”, to truly distill effective asset management practices and principles to the nooks and crannies of the organization. One key tenet of ISO55000x is the management of asset risk at all levels of asset interaction. On the other side, one area that has been struggling to understand asset management beyond maintenance management is the traditional Maintenance Department. This paper will capture the steps that Veolia North America is taking one of its Municipal Clients through to understand risk at the more granular levels and build risk resilience into its maintenance strategy.Yet for the average Maintenance Manager, the challenge of interpreting asset risk for the organization is still uncharted waters. There are several ways in which the traditional Maintenance Manager can understand the wide breadth of risks facing the asset, determine appropriate responses and communicate them to the appropriate stakeholders. In fact, one or more of these may already be in place in the organization but may not be seen as building risk resilience. This presentation will explore one methodology used by Veolia to develop an asset-centric, risk-based Maintenance Strategy at the City of Winnipeg’s, Waste Water Treatment Plants using a Maintenance Management Maturity Assessment.The City of Winnipeg’s Waste Water Department is at a very interesting juncture in its history, in that there are several major capital upgrades being undertaken, whilst the plants continue to run. The goal of the Maintenance Strategy is therefore two-fold. To maintain the existing levels of service at least whole life cost with risk balanced against the cost of meeting objectives, whilst ensuring that there is a plan to maximise maintenance for the future asset base to realise the benefit of the investment over the whole life of the assets. As a result, in 2016, in collaboration with its selected O&M improvement partner, Veolia North America, the City of Winnipeg’s Waste Water Treatment Plants, went on a path of discovery. Two significant tools of investigation were employed: 1. An Asset Management Maturity Assessment was conducted and 2. The City participated in the National Waste Water Benchmarking Initiative (NWWBI) Maintenance Task Force Survey implemented by AECOM. The Asset Management Maturity Assessment examined 8 fundamental areas of Maintenance Management and outlined positions of excellence that the City hoped to achieve both at the 1-year and 3-year mark from the date of assessment with 2017 being Year 1. The NWWBI Maintenance Task Force Survey examined 42 granular yet, over-lapping areas of Maintenance Management, with 18 of them reporting significant gaps for the City’s Waste Water Treatment Plants. The results of the two analyses were combined into eight (8) key Objectives and the underlying activities required to achieving them over the next three (3) years. These eight (8) Objectives are: 1. Implementation of Asset Condition Assessment Plan (ACAP) 2. Inventory Management Optimization Plan (IMOP) 3. Work Organization Improvement Plan (WOIP) 4. Implementation of Maintenance Quality Strategy (MQS) 5. Financial Capability Improvement Plan (FCIP) 6. Asset Registry Improvement Plan (ARIP) 7. Implementation of Document Management (DM) 8. Revision and Implementation of Asset Criticality Model (ACM)This presentation will examine the detailed plans for each objective, the inter-connectivity and alignment of the Objectives, the Road Map for the next 3 years, the processes for monitoring and continual improvement and the benefits of implementing this approach. Presented at MainTrain 2017