The Role of Statistics in Reliability Engineering
This Isn’t Your High School Statistics Course
What does the word statistics bring to mind when you hear it? Horrible high school classes that you sat through wondering why do I need this stuff? Complex math problems what were almost impossible to figure out? Or is it nonsense that is only used in political polls?
Statistics are used in every aspect of Reliability Engineering. So if you don’t have a good relationship with statistics, I highly recommend that you are starting […]
Almost all maintenance, reliability or asset management professionals have heard of reliability engineering. But what is reliability engineering? A quick google search will return the following definition “Reliability Engineering is engineering that emphasizes dependability in the lifecycle management of a product. Dependability, or reliability, describes the ability of a system or component to function under stated conditions for a specified period of time.”
As maintenance, reliability, and asset management professionals, we are in an amazing time. We can collect virtually limitless amounts of data on the condition of our assets. With this data, we can determine the exact condition of the assets, predict when the next failure is likely to occur and how it will occur. Besides, with all of this data, we can move to prescriptive maintenance, where the maintenance actions are determined based on the asset condition, not a predetermined […]
Performing a PM Optimization is not always as simple as it sounds. Often a Maintenance Planner will assemble a team of technicians to ask what is value-added and what is missing from a PM Routine. While these may be good questions to ask before diving into an analysis, or after an analysis, it does not base the answers on data. Basing the PM Routine on data, not intuition is critical to the long-term success of any organization.
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?