Your Reliability Engineering Professional Development Site
Find all articles across all article series listed in reverse chronological order.
Having a knowledge of how the data is distributed is critical to model failure times and life in reliability analysis. Every distribution is unique and suitable for different types of reliability data.
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The history of Design of Experiments (D.O.E) can be traced back to the work of various individuals, including Genichi Taguchi, a Japanese engineer and statistician. Taguchi made significant contributions to the field, particularly in the area of robust design, which aimed to improve the quality of products and processes. His work was influenced by the need for quality improvement in post-World War II Japan. Taguchi’s methodology, known as the Taguchi methods, was based on the concept of “robust parameter design,” which aimed to make processes and products insensitive to environmental factors or other variables that were difficult to control.
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Physics-of-Failure warns us to keep the sum of all static and cyclic loads on a part’s microstructure below its fatigue stress limit.
The image below shows two example metal fatigue limit failure curves. These curves were determined based on controlled laboratory experiments. These experiments use a machine with a fixed load to test the selected piece’s microstructure stress levels. Curve A shows that at a high stress level, close to the Ultimate Tensile Strength of steel, the test piece failed after 10,000 cycles. As the fatigue stress level is reduced, the test piece lasts longer. When the imposed stress is limited to around 50% of the UTS, the cycles to failure had no measurable limit. On the other hand, Curve B shows that at all levels of fatigue stress the component would eventually fail. However, the same outcome can be seen, that as stress reduces the service lifetime before failure increases.
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Black Lives Matter is a slogan that we see at major sporting events, and on social media, however it is a fact that female managers of color are five times more likely (21%) than their white female counterparts (4%) to say they have quit a job after being overlooked for a new leadership opportunity at work.
While it’s not really news that women and especially women of color are more likely to encounter roadblocks in the journey to a leadership role, it’s very disconcerting to how it’s affecting not just the women, but the companies that are losing out on this talent.
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This is our first video on ALT in a series of videos on this important topic in reliability engineering. In this video, Hemant Urdhwareshe has introduced basic concepts of ALT. In our subsequent videos on ALT, we will do a more detailed discussion on mathematical treatment, selection of appropriate model and statistical distribution. We will explain these with application example on Minitab software. Hemant is a Fellow of ASQ and is ASQ CRE, CMBB, CSSBB, CQE and CMQ/OE. We are sure that viewers will find it useful.
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Have you ever tried to implement any asset improvement activity but it didn’t go so well? Couldn’t rally the troops? Couldn’t get the kind of management buy-in that you really needed to get things off the ground? If so, you’re not alone.
I’ve read too many articles describing that up to 70% of asset improvement initiatives fail. And I think it’s because a lot of people don’t have a basic understanding of maintenance and reliability principles. So they don’t understand why “change” needs to take place.
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“The way we spend our time defines who we are.” Jonathan Estrin [Read more…]
Reliability engineers are challenged to effectively communicate their technical information to senior managers and the public. The FINESSE fishbone diagram is a proven, systems-based approach for meeting the communications challenge. The first E in the FINESSE fishbone diagram stands for Empathy. These are four tips to help you improve your empathy and empathetic listening.
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IS ALL RCA CREATED EQUAL? In this short ‘Getting Back to Basics’ video, Bob Latino attempts to breakdown what the term ‘RCA’ actually means to those who implement it. He will strip away the RCA marketing labels and focus on the elements/functions of an effective approach to analyzing undesirable outcomes. In end, viewers will reflect if their approach is consistent with ‘Root Cause Analysis’ or ‘Shallow Cause Analysis’.
What do you see, in practice, as the difference between RCA and Shallow Cause Analysis?
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It is no small irony that a software application that is designed to protect IT systems from malicious actors was behind the biggest IT outage in the history of computers. A company called Crowdstrike provides a ‘Falcon Sensor’ product that is intended to scan computers that use Microsoft operating systems for vulnerabilities. And this product is deployed so deeply into its host operating systems that it has access to the ‘kernel,’ which is the program that runs the basic code that links applications to the computer hardware (like memory, central processing unit and other devices). Unfortunately a Falcon Sensor update that Crowdstrike sent to its customers had a bug that was not picked up by its own validation programs (because it too had a bug). And unfortunately, it accesses a ‘forbidden’ part of the memory that causes the infamous BSOD or ‘blue screen of death.’ So airlines, hospitals, banks, hotels and lots of other companies simply couldn’t operate.
And again there is no one answer for such simple question. Strongly depends on what type of test you need to conduct.
It is also very important to understand at which stage, design of the product. Usually at very early stages of the design there is many unexpected failures, when design is mature enough – failures become predictable, and there is one last period, called – wear out/aging stage.
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All models are wrong, some are useful. ~ George E. P. Box
If you know me, you know I do not like MTBF. Trying to predict MTBF, which I consider a worthless metric, is folly.
So, why the article on predicting MTBF?
Predicting MTBF or creating an estimate is often requested by your customer or organization. You are being specifically asked for MTBF for a new product.
You have to come up with something.
Focus on failure elimination, otherwise equipment failures never stop because they are forever being introduced and perpetuated by poor procedures and practices, poor quality control and poor business management systems.
Knowing defects cause future equipment failures, production downtime, unnecessary costs and lost profits, it is necessary to put defect elimination strategies into place to purposely stop defects occurring and to remove the defects that are already present.
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“Any decision is better than No Decision” goes the Law of Decision making. However, sitting on the fence, humming and hawing, chewing the cud, weighing every option, exploring every avenue and leaving no stone unturned can, and often does, eventually amount to, at the end of the day, and in its cold light, without beating about the bush, or wasting any more time…indecision.
Indecision, at least for those affected, leads to a number of things including frustration, demotivation, and anger. These feelings are not felt by those who dwell in indecision as they are blissfully unaware and are ignorantly oblivious as to the adverse effects of their procrastination. They are also incognizant as to their responsibility for wasting everybody’s precious time as well as being bewilderingly ignorant that a definitive decision to do nothing may allow for some productive work elsewhere. But they would rather keep people on tenterhooks and in a state of limbo and avoid any gainful and concurrent activity. Productivity for them is of no consequence…people can always catch up later…or can they?!
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In our first two videos we discussed alarms and event rates. Today we will be discussing rework. What is rework? How can we identify rework? George has it covered. Check it out this latest video and if you have any questions feel free to leave a comment!
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