Your Reliability Engineering Professional Development Site
A goal without a plan is just a wish.
We take these wishes…
“I wish I had the cross functional input that I need for design inputs.”
“I wish I could work with my cross functional team.”
“I wish my team would accept my design idea.”
…and we add a plan to make them a GOAL.
We plan for what it is we want and how we’re going to get there using Quality during Design.
Can reliability training be both entertaining and effective? The Manufacturing Game’s Michelle Ledet Henley has a different approach to traditional training methods.
Michelle Ledet Henley has worked with The Manufacturing Game since 1998 as a developer of new simulations and training material. She has traveled worldwide in her capacity as a facilitator and trainer for The Manufacturing Game and other simulations developed by Ledet Enterprises, Inc. Michelle has been instrumental in developing simulations with a focus on reliability, project management and distribution.
She began her career with KPMG Peat Marwick in San Francisco, CA, and then worked for a real estate management and development firm in the Washington, D.C. area. Before joining The Manufacturing Game®, Michelle formed her own company, Innovative Interfaces, which provides computer programming services around the United States.
Michelle has a bachelors of business administration degree from the University of Texas – Austin in Accounting and Information Services.
Michelle’s Contact Information:
mrledet@manufacturinggame.com
http://manufacturinggame.com
linkedin.com/in/michelleledethenley
The following books were recommended on this episode:
Don’t Just Fix It, Improve It
https://a.co/d/gYvMKdI
The Story Telling Code by Dana Norris
https://a.co/d/cCgTWNb
Chris and Fred discussing a listener’s questions on how to convert a failure rate to a distribution.
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Greg and Fred discussing how reliability inherently involves variability and risk.
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We’re given information about an opportunity for a new product.
We talk about what can happen when we start solution-building just with what we’re given. And we talk about an alternative start to a new engineering project.
Greg and Fred discussing bringing suppliers back to the location of OEM headquarters and factories. A common risk is finding the talent to design and build these factories.
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Chris and Fred discuss the many and varied different software package that can help you do ‘reliability stuff’ … and how we usually assume everything they do is ‘OK.’ But how do we know the software is giving us the numbers we need?
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In this episode I discuss the state of steel metallurgy knowledge and the things this knowledge have enabled including ultra-high volume steel production and the ability to engineer components with a wide range of properties for a wide range of applications.
To learn more about this subject check out https://www.imetllc.com/a-tribute-to-steel-metallurgy-knowledge/ Also, on May 17, 2023 there’s a live online course https://www.imetllc.com/product/steel-metallurgy-webinar/
In this special episode of Quality during Design Redux, we’re pulling episodes from our archive about test results analysis.
In our Season 1 – Episode 93 titled “The Fundamental Thing to Know from Statistics for Design Engineering”, we talked about hypothesis testing: how it is used for lots of data analysis techniques.
When we’re looking at results (like measures of a characteristic), we need to take care not to get too hung-up on what the statistics is trying to tell us. Yes, statistical tools are a good way for us to make decisions and the results can act as proof for us. But, there’s a practical, engineering side to results, too. We need to evaluate the statistical significance along with the practical significance.
We review an example and how to document it.
Creating a plan and generating information is part of reliability engineering, yet it’s not enough. To be a successful engineer, one must communicate well. This means we need to write, discuss, and present well. We are often called upon to examine failures and recommend solutions, examine a dataset and explain the finding, or conduct an experiment and detail the results. [Read more…]
I first met my guest at the SMTA Pan Pacific Symposium in Hawaii this past January. He was presenting a paper entitled Quantum Technology, A Theoretical Overview of the Possibilities. The more I listened to and watched his presentation, the more I wanted to learn about quantum physics and mechanics. So I selfishly invited him onto my show today so I could learn more, and perhaps you can too.
My guest today is Dr. James Whitfield. Dr. Whitfield is an associate professor of physics at Dartmouth. He earned his Bachelor’s of science and chemistry and mathematics from Morehouse University and his PhD in chemical physics from Harvard University. He was a postdoctoral fellow at Columbia University in New York, Vienna Center for Quantum Science and Technology in Vienna and Gant University and Belgium, and he is currently an Amazon visiting academic and even better than all that, he’s my guest today on the Reliability Matters Podcast.
Chris and Fred discuss an ALT or Accelerate Life Test Design Question. We love these podcasts … as we are directly answering a question from one of our listeners. Interested in hearing a response to a real-world question from a listener?
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Carl and Fred discussing a reader question about FMEAs. Specifically, whether reliability predictions (for similar systems) are valid input to the Occurrence rating in an FMEA.
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