Your Reliability Engineering Professional Development Site
Let's have an in-depth discussion during the live webinar series events: Reliability Engineering Basics, Statistics, Accelerated Testing, Program Assessment, and Improvement. Catch up or review past events below.
To attend an upcoming live event, visit the Live Events section of the site, which lists the available upcoming webinars. Recordings are available via recorded videos or audio only via the podcast show.
Find one that looks interesting and register for the event. You will receive login directions and reminders prior to the event. Plus you will be able to join the discussion during the event.
We all know what the ‘root cause’ is … right? It is the ‘thing’ that caused something bad to happen. The problem is the definition of ‘root cause’ has been abused, misconstrued, re-written, misinterpreted, and all sorts of other things that erode from what it is supposed to be. And by that, I mean it has to be something that we can do something about (and make better). [Read more…]
Only some discussions about reliability go well. Some conversations make it obvious reliability is an afterthought or considered a barrier to creating and shipping products. Other conversations seem to support reliability work, yet really are little more than lip service. Then, there are meaningful conversations that improve the reliability culture within the organization. [Read more…]
If nothing changes, then nothing changes. Change happens when we decide to do something. The status quo remains if we decide to do nothing. We make decisions every day. We do it so often that it might seem like a trivial thing to do. But we so often get it wrong. We might be influenced by emotion, prejudice, time pressure, budgetary stress, or ‘mental comfort.’ [Read more…]
DFR has been a term in and out of fashion for some time—one of the many DFX type programs. DFR, unlike some of the other Design for X programs, has to exist within the overall culture of the organization to be successful. The premise that design occurs at the point of decision implies that each design may have the appropriate information to consider the decision’s impact on reliability performance properly. [Read more…]
Everyone knows why we do reliability, and reliability things like FMEAs. Customer experience. Organization reputation. Reduced warranty claims 10 years from now. But these are boring reasons that really don’t motivate me to take FMEAs seriously now. Why should I invest so much time into an activity that benefits the ‘company’ or the ‘customer’ in the future but won’t make an immediate difference when my boss will give me a ‘gold star’ on my next performance appraisal? Right? Wrong! [Read more…]
The more you understand the failure mechanisms, the easier it is to design an accelerated life test (ALT). Yet, we often do not have all the information we would like to draft an ALT. So, what do we do then?
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There are so many books on leadership, management, more leadership, reliability, quality, customer first, even more leadership, et cetera. But there remains a common refrain I hear repeatedly from reliability engineers struggling to make a difference: ‘Reliability is just not relevant to my organization.’ There is a common thread to this common refrain – we only hear it from people who work in organizations that don’t have a clear understanding of ‘why’ they are doing what they do.
Reliability engineers LOVE Weibull plots. They often make sense out of a bunch of seemingly random points. Or at least we feel like they make sense. Anything that turns a bunch of random points into a straight line is automatically making sense … right? Wrong. It is up to us as reliability engineers to look at Weibull plots and work out what is going on. [Read more…]
Carefully considering the acceleration factor (AF) is essential when conducting an accelerated life test. Like warp drives shortening the distance, accelerated life tests (ALT) attempt to shorten time. Think of the warp factor and acceleration factor as being similar, well, sort of. [Read more…]
We all know that all you need to work out how many spare parts you need is to put some numbers into a computer, perhaps throw in a ‘confidence’ level as well, and use the number that the computer spits back out at you. Right? [Read more…]
We can make a guess, some assumptions, or conduct an experiment. In fact, we use engineering judgment, and prudent assumptions to create our experiments that lead to understanding time to failure information. Accelerated life testing, ALT, is one of the most complex and important types of experiments we conduct. It involves samples, failure mechanisms, stress, measurements, and statistics. [Read more…]
One of the things I like about reliability engineering is the field has a stable set of tools and approaches with an ever-changing set of challenges. The process of conducting an FMEA or Root Cause Analysis hasn’t changed much over time. Meanwhile, with the advent of new designs, materials, assembly techniques, and higher customer expectations, we continue to face interesting problems. [Read more…]
This is the fourth in our webinar series, ‘Reliability Analysis … now what?’ We have examined how to turn data points (like the different failure points of devices under test) into something simple, useful, and sometimes beautiful! This is something that commercial software can’t do. [Read more…]
Risk is uncertainty. Will this work? How will this item fail? Is it safe? Risk is not limited to product failure, including brand topics such as market acceptance, regulatory approval, supply chain stability, international conflicts, and more. Reliability engineering tends to focus on product failure to perform as expected, and we must fit into the large context of risks facing any product or system. [Read more…]
This is the third in our webinar series ‘Reliability Analysis … now what?’ The first webinar showed what it means to turn reliability data into something a decision-maker can use. Not a chart. Not a graph. Not a ‘p’ value. Not anything else that you find in a textbook but isn’t useful. Last month’s webinar talked about how the best way to do this is to use computers … but in an easy way! And we talked about creating a ‘posse’ of possible ‘ways’ to explain the data we see. And this webinar is about how we use this thing called Markov Chain Monte Carlo Simulation (MCMC) to create this ‘posse.’ And the ‘posse’ isn’t random … it is based on the ‘likelihood’ of each one being the correct one, which is how MCMC works. [Read more…]
