
RCM Training should always reinforce the importance of ensuring the inherent designed reliability of the asset or system that is being analyzed. It is primarily this function of the RCM process that people fail to fully understand. The importance of properly conveying this message is what most often differentiates successful Reliability Centered Maintenance efforts from those who dabble and fail.
Reliability Centered Maintenance Training should always include a case study that allows the participants to identify failure modes that result in the team making task decisions in each of the following Consequence Categories: Hidden Failure Consequences, Health Safety and Environmental Consequences, Operational Consequences and Non-Operational Consequences.
RCM Training should always include real-life facilitation in a team format. It’s extremely important for those learning the process to understand the detail required to properly assess failure modes, failure effects and tasks.





I recently had the pleasure to interview Doug Stangier, co-author of
In the previous articles, we looked at what type of analysis to use to evaluate the effectiveness of the PMs and if they are cost effective. Once the PMs have been optimized to ensure they are addressing the right failure modes, then they need to be made efficient. Below is an excerpt from a recent article in
Would you spend $100 every week to prevent a possible issue that will result in a loss of $10? Probably not, so why is that we do that with our maintenance programs every single day? Often, PM and PdM activities are put into place without any thought to the economic impact of the activity. While in theory the PM or PdM activities will prevent or mitigate the consequences of the failure, is implementing one of these activities the right thing to do?
If you are lucky enough to have good failure data history in your CMMS, you are one of the few. But even if you have the data, can you use it to make a difference to your organization? Obviously, the data can be used to perform certain reliability engineering analyses, but what can those without reliability engineering experience do with the data?



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