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:Practitioner ProducedOriginal date:Monday, June 11, 2018Reliability Centered Maintenance – Reengineered, provides an optimized approach to a well established and highly successful method used for determining failure management policies for physical assets. It makes the original method that was developed to enhance flight safety, far more useful in a broad range of industries where asset criticality ranges from high to low. RCM-R® is focused on the science of failures and what must be done to enable long term sustainably reliable operations. If used correctly, RCM-R® is the first step in delivering fewer breakdowns, more productive capacity, lower costs, safer operations and improved environmental performance. Maintenance has a huge impact on most businesses whether its presence is felt or not. RCM-R® ensures that the right work is done to guarantee there are as few nasty surprises as possible that can harm the business in any way. RCM-R® addresses the shortfalls of RCM that have inhibited its broad acceptance in industry. Little new work has been done in the field of RCM since the 1990’s, yet demand for such a method, better adapted to industrial applications is higher than ever and growing. Demographics and ever more complex systems are driving a need to be more efficient in our use of skilled maintenance resources while ensuring first time success – greater effectiveness is needed. RCM-R® was developed to leverage on RCM’s original success at delivering that effectiveness while addressing the concerns of the industrial market. RCM-R® addresses the RCM method and shortfalls in its application. It modifies the method to consider asset and even failure mode criticality so that rigor is applied only where it is truly needed. It removes (within reason) the sources of concern about RCM being overly rigorous and too labor intensive without compromising on its ability to deliver a tailored failure management program for physical assets sensitive to their operational context and application. RCM-R® also provides its practitioners with standard based guidance for determining meaningful failure modes and causes facilitating their analysis for optimum outcome. It places RCM into the Asset Management spectrum strengthening the original method by introducing International Standard based risk management methods for assessing failure risks formally. RCM-R® employs quantitative reliability methods tailoring evidence based decision making whenever historical failure data is available.
Increasing Operational Service Levels Using Preventative Maintenance Optimization Strategies: A Case Study of the LINK APM System at Toronto Pearson International AirportBoK Content Type:Presentation SlidesPresentation PaperBoK Content Source:MainTrain 2018Original date:Thursday, March 29, 2018In 2017, the LINK Automated People Mover (APM) at Toronto Pearson International Airport transported an average of 24,000 passengers per day — a 20% increase in passenger traffic from 2015, according to a 2017 report by the GTAA. To increase operational service levels, preventative maintenance optimization (PMO) initiatives were undertaken in 2015 and 2016 in co-ordination with the APM owner, manufacturer, and O&M service provider. The initiatives were designed to increase the overall day-to-day operational run-time of the LINK system while maintaining existing levels of safety and reliability. In this workshop, we’ll use the LINK APM system as a case study to discuss the requirements for successful PMO implementation, which include interorganizational communication and co-operation, RCM strategies, and due diligence as it relates to safety-related subsystems and processes. We’ll also offer a blueprint for similar optimization strategies.
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.