Your Reliability Engineering Professional Development Site
Find all articles across all article series listed in reverse chronological order.
How the 3T’s of Human Error Prevention and Mistake Proofing – Target, Tolerance, Test – were Discovered
Human errors and mistakes cause 80 percent of industrial equipment failures. That humans cause most problems has long been known. It has been difficult to find reliable ways to prevent human error, but an Arab craftsman taught me the 3Ts of error prevention and mistake proofing work.
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In this video, Hemant Urdhwareshe explains how to use Hazard Plotting to estimate parameters of Weibull Distribution using Excel with an application case study. Hemant also explains related mathematical concepts in Hazard plotting. Hemant is a Fellow of ASQ, and is certified by ASQ as CRE, CMBB, CSSBB, CQE and CMQ/OE. Viewers may like to watch our previous video on Weibull Probability Plotting.
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Hello, can anyone advise me how to calculate temperature acceleration factor for a complex system including cards, RF elements, cables, motors and moving parts? Is the Arrhenius model valid for such systems, or there are more precise models? Thank you!
If you are running a business today using Agile methods, it’s likely that you are not getting the productivity boost from it that you should, and your time to market for new features is probably not what it could be either.
Is that the end of the world? By and large, yes! The problem is that your impaired delivery capabilities have a substantial impact on your business agility. How is that? Your digital development process is at the center of your product management capability and if you can’t iterate quickly enough it will limit the opportunities for your product managers to redirect the evolution of your products while they’re in development. When you are in a hurry to get new or updated products to market, they will be less evolved, less marketable and less competitive.
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This job description begins detailing the attributes, skills and knowledge required for a person to competently do the duties of a maintenance planner focused on improving equipment reliability. It uses an outcomes approach to set the standards that must be reached in the performance of the work. It leaves the person doing the job the flexibility and initiative to find their own way to reach those standards.
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In this video, Hemant Urdhwareshe explains basic concepts of Fractional Factorial Design, Confounding or Aliasing and Resolution of designs. View earlier videos in this series: Introduction, Application, Coded and Uncoded Values, and a Case study.
Hemant is a Fellow of American Society for Quality (ASQ) and is certified by ASQ as Six Sigma Master Black Belt (CMBB), Black Belt (CSSBB), Reliability Engineer (CRE), Quality Engineer (CQE) and Manager of Quality and Organizational Excellence (CMQ/OE).
The video would be useful to all those who wish to learn about use of fractional factorial designs to reduce number of runs in experiments. It will be also be greatly useful for preparing ASQ certification exams!
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George Williams and Ramesh Gulati discuss the importance of Reliability Engineers in the work space. -Why is Reliability important? -What does it take to be a Reliability Engineer? -What type of skillsets are needed? -Why is it important to have Reliability Engineers?
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I estimated actuarial failure rates, made actuarial forecasts, and recommended stock levels for automotive aftermarket stores. I wondered how to account for seasonality in their sales? Time series forecasts account for seasonality but not for age, the force of mortality accounted for by actuarial forecasts. I finally figured out how to seasonally adjust actuarial forecasts. It’s the same method, David Cox’ “Proportional Hazards” model, used to make “Semi-Parametric” estimates and “Credible Reliability Predictions”.
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In part two of this three-part article series, I am continuing to showcase some of the best questions I’ve received over the past 5 years from students of my online Root Cause Analysis class, along with my answer to them.
And as Indira Gandhi once said, “The power to question is the basis of all human progress.” And so, it is my hope that by sharing these questions and answers, others may all learn and progress as well.
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Paul H. Barringer invented the Barringer Process Reliability (BPR) process. Paul was a fellow Reliability Engineer “extraordinaire” and an outstanding mentor for myself and countless others in this field of practice. BPR highlights operational issues. If not addressed or mitigated, those could have significant revenue impacts on an operation. A BPR analysis uses the Weibull probability plot which happens to be a very well-known tool in the field of Reliability Engineering. On one side of a sheet of paper only, the BPR plot can tell the true “story” on the operation. One of those “stories” relates to high impact events best tackled by a Root Cause Analysis.
[Read more…]“A teacher who is attempting to teach without inspiring the pupil with a desire to learn is hammering on cold iron.” Horace Mann
The definition of interest is “a feeling that accompanies or causes special attention to something or someone.” [Read more…]
[Read more…]Fred i was asked this question and wanted to know what your thoughts were on this. R and D asked me what was the criteria to decide if to test at a component level or at a system level , my answer was that it should depend on what is the reliability and confidence level of the component
your thoughts?
thanks
sd
What Every Manager Needs to Know About Business Risk from Equipment Reliability
Figure 1 shows how equipment risks start and transfer through a business. Tens of thousands of business risks, even hundreds of thousands in big operations, come from your plant and machinery.
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Projects go wrong. Despite some people’s best efforts, hopes to the contrary, or helpless denials, that’s a fact. ‘Best effort’ is sometimes not good enough to help a failing project recover, ‘hope’ can merely be unfounded optimism and denial in the light of facts is just part of the grief cycle.
Nobody really wants to fail, very few like it, and even fewer will enjoy it. Those that planned a project did not purposely plan to fail. Perhaps there may have been a bit of a gamble with a tendency towards optimism rather than applying the caution of pessimism. Projects are about risk as well as opportunity and as the idiom goes, “Nothing ventured…nothing gained” but not every cloud has a silver lining.
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Hemant Urdhwareshe, Director of Institute of Quality and Reliability presents case study to maximize fatigue strength of crankshaft using design of experiments using SigmaXL Template of Full Factorial Design with three factors each at two levels.
Hemant is Fellow of ASQ and possesses five certifications from ASQ including Six Sigma Master Black Belt and Reliability Engineer. It is recommended that viewers first watch the previous videos DOE-1, DOE-2 and DOE-3 before watching this video. SigmaXL trial version can be downloaded from www.sigmaxl.com.
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