Quantify the Improvements (or Gaps) In Your Reliability
Using a Crow-AMSAA [Reliability Growth Analysis (RGA)] to Quantify Your Reliability Improvements (or Losses)
Imagine being able to predict the next time a failure will occur for a piece of equipment without a huge amount of work. Wouldn’t it be nice to know the approximate point in time that a failure will occur on a critical piece of equipment? It is possible, but I am not talking about using MTBF, as it is not a good measure (if you need to understand why, please visit http://www.NoMTBF.com). What I am talking about is a […]
Every failure is part of a puzzle. The equipment we are maintaining is trying to communicate with use with each and every failure.
Let’s face it, your technicians have been entering data into the CMMS for years, but you haven’t been able to use it to make improvements. Is it because the data isn’t codified or it doesn’t have the right data points? Generally, this is how most maintenance managers will view their data, but it is incorrect. The CMMS does have data that you can use almost immediately.