#224 – RELIABILITY MODELING USING MONTE CARLO – FRED SCHENKELBERG

Featured

 ABC-Fred-150x150Monte 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.
For reliability modeling, this is easiest to imagine for a series system. For a system with two elements in series, a very simple reliability block diagram multiples the expected reliability for each block to determine the system reliability value. Yet, it is possible to have both elements at the low end of the range of possible reliability values, or the high end or a mix.

Continue reading

#223 – MY RELIABILITY ENGINEERING PASSION – FRED SCHENKELBERG

Featured

ABC-Fred-150x150Welcome 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

#222 – SUPPLY CHAIN PROCESS CONTROL AND CAPABILITY – FRED SCHENKELBERG

Featured

ABC-Fred-150x150If 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

#212 – CONTINUOUS IMPROVEMENT OF THE RISK MANAGEMENT FRAMEWORK – FRED SCHENKELBERG

Featured

ABC-Fred-150x150Systems 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

#209 – HOW TO ESTIMATE THE NUMBER OF FAILURES NEXT MONTH – FRED SCHENKELBERG

Featured

ABC-Fred-150x150Let’s say you have shipped 1,000 products to your customer on January 1st. All are immediately placed into service. And each month since you have received a few product returns, what we are going to call failures. We also have fitted the data to a Weibull distribution. Then in May, your boss asks you to estimate how many failures to expect in June. Continue reading