A Question & Answer Period with Fred Schenkelberg and James Kovacevic on what can be done with your data and analysis.
Data and the analyses that use the data can be tricky to manage at best, let along extremely difficult.
In this last post of the series on using the maintenance data you have, Fred and James will answer many of the common questions asked about data and the analyses. Continue reading
Monte Carlo relies on data that describes the variation of elements within the system. It also connects the elements such that their result is an estimate of performance.Welcome to Accendo Reliability – join us and learn the art and craft of reliability engineering.
As I started my career, I focused on mastering the tools. My first accelerated test plan and results used a Wiener diffusion model and non-linear regression techniques. Presenting the methods and results, my boss asked, “What does it mean to our business and customers?” Continue reading
If you buy more than one of an item used in your product, you will have to deal with variability. In general, the variability from part to part is minimal and expected. Occasionally, the variability is large and causes reliability problems.
According to O’Connor and Kleyner, “The main cause of production-induced unreliability, as well as rework and scrap, is the variability inherent in production processes.” O’Connor, Patrick D. T. and Andre Kleyner. 2012. Practical Reliability Engineering. Chicester: John Wiley and Sons. Web. Continue reading
Systems and processes exist in our dynamic world. Each organization and situation is different. Just as there is not one risk management process that works for any organization, there also is the need for continuous improvement of an existing system. Continue reading