Reshoring and Talent
Abstract
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.
ᐅ Play Episode
SOR 861 Reshoring and Talent
SOR 860 Software and Thinking
Software and Thinking
Abstract
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?
ᐅ Play Episode
MC 011 Tribute to Steel Metallurgy Knowledge
Tribute to Steel Metallurgy Knowledge
In this episode, I discuss the state of steel metallurgy knowledge and the things this knowledge has 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 the article A Tribute to Steel Metallurgy Knowledge.
RiM 21: Simplifying Hypotheses Testing with Sandeep
Simplifying Hypotheses Testing with Sandeep
In this episode, I speak with Sandeep Jadhav about Hypothesis Testing. We talk about what Hypothesis Testing is and why we need it.
If you want to understand what the “p” value is and interpret that, you’ve come to the right place. Sandeep explains the concept of the Null alternate hypothesis as well as the producer’s risk or as he likes to call it an overreaction in the simplest way possible. If you were ever apprehensive about learning about Hypothesis Testing then this is the podcast for you.
If you want to learn more about Six Sigma and Hypothesis Testing, feel free to reach out to Sandeep through LinkedIn.
QDD 108 QDD Redux Ep. 4: Statistical vs. Practical Significance
QDD Redux Ep. 4: Statistical vs. Practical Significance
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.
Communicating as a Reliability Engineer
Communicating as a Reliability Engineer
podcast episode with speaker Fred Schenkelberg
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…]
RM 119: Quantum Mechanics Explained
Quantum Mechanics Explained
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.
SOR 859 An ALT Design Question
An ALT Design Question
Abstract
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?
ᐅ Play Episode
SOR 858 Reliability Predictions and FMEA Occurrence
Reliability Predictions and FMEA Occurrence
Abstract
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.
ᐅ Play Episode
QDD 107 QDD Redux Ep. 3: When it’s Not Normal: How to Choose from a Library of Distributions
QDD Redux Ep. 3: When it’s Not Normal: How to Choose from a Library of Distributions
When trying to fit a probability distribution to quantitative results, sometimes the normal probability doesn’t fit. Minitab has a wealth of distributions to pick from. Do you just pick whichever one Minitab tells you fits the best? Maybe not. Just because the distribution fits your data doesn’t mean it’s a good one to use. We review my top 3 distributions for product testing and some other ones that come up but may not be appropriate to use.
We’ll also share what you need to think about when picking a distribution:
- think about your purpose of test
- consider your failure mode and how you’re expecting your product to perform – does the typical use case of a distribution fit?
- when you have options, the simpler the distribution the better (i.e. choose a 2-parameter over a 3-parameter)
SOR 857 Selecting the Right Method
Selecting the Right Method
Abstract
Greg and Fred discussing the right method (s) to solve quality and reliability problems specifically answering the question ‘is the approach good enough?’
ᐅ Play Episode
SOR 856 ChatGPT and Reliability
ChatGPT and Reliability
Abstract
Kirk and Fred discuss the use of artificial intelligence engines such as ChatGPT in Reliability Engineering. A copy of the ChatGPT questions and responses that we discuss on this podcast is listed in the show notes below.
ᐅ Play Episode
MC 010 A Different Perspective for Seeing Products
A Different Perspective for Seeing Products
How do you look at any product? See just a thing that performs a certain function? In this episode I discuss my perspective on how I see a product – as an assembly of materials – and how it influences how I help design products to meet performance, reliability, and cost goals.
QDD 106 QDD Redux Ep. 2: How to Handle Competing Failure Modes
QDD Redux Ep. 2: How to Handle Competing Failure Modes
SHOW NOTES
In this special episode of Quality during Design Redux, we’re pulling episodes from our archive about test results analysis.
Originally released May 2021. We talk about the importance of examining failure modes plus other topics.
If we’re not careful with or ignore failure modes, we can choose the wrong reliability model or statistical distribution. If our product performance is close to the required limits and/or we need a very accurate model, this could be a big problem.
We talk about the importance of failure modes and step-through a tensile-test example to explore these other topics:
- competing failure modes
- suspensions
- independent vs. dependent
- reliability block diagrams
What is ‘Supportability’ and How Does it Relate to Reliability?
What is ‘Supportability’ and How Does it Relate to Reliability?
podcast episode with speaker Chris Jackson
What is supportability? Is it working out how many spare parts you will need (and when)? No. Is it working out how many maintainers or technicians you will need to keep your system working? Still no. What about working out what tools these maintainers or technicians need? No again. But many people think that this is what ‘supportability’ is. ‘Supportability’ is actually a characteristic of your product or system. Is the ‘ability’ for it to be ‘supported.’ And this can mean different things in different scenarios. It is also not a ‘number.’ If you have two comparable systems, but one needs fewer spare parts, is easier to maintain, needs fewer tools, has lots of sensors that give plenty of warning for maintenance, and so on … then it might be more supportable. But the main thing you need to ‘think about’ regarding supportability is that because it is a characteristic of a product or system … it has to be baked INTO the design. Want to learn more about how to do this? Join us for this webinar.
[Read more…]
