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QDD 107 QDD Redux Ep. 3: When it’s Not Normal: How to Choose from a Library of Distributions

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:

  1. think about your purpose of test
  2. consider your failure mode and how you’re expecting your product to perform – does the typical use case of a distribution fit?
  3. when you have options, the simpler the distribution the  better (i.e. choose a 2-parameter over a 3-parameter)

 

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QDD 106 QDD Redux Ep. 2: How to Handle Competing Failure Modes

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

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What is ‘Supportability’ and How Does it Relate to Reliability?

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.
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RM 118: Making “Big Data” Useful with Intraratio’s Ryan Gamble

RM 118: Making “Big Data” Useful with Intraratio’s Ryan Gamble

Making “Big Data” Useful with Intraratio’s Ryan Gamble

The subjects of Industry 4.0 and Big Data have been widely discussed on this podcast. What is Industry 4.0? What data is our industry collecting? And, perhaps more importantly, how can we sift through all of that data to make it useful and actionable?

To help answer these and other data-related questions, I invited Ryan Gamble, CEO and Founder of Intraratio on this episode. Intraratio Corporation is a company that provides on-premise and cloud hybrid software with platforms to track, manage, control, and automate the manufacture of advanced electronics. Intraratio serves the semiconductor, SMT, space/military, medical device and EV markets. Ryan earned a dual Electrical and Computer Engineering degree and spent many years in the semiconductor industry. He’s responsible for improving product manufacturing and testing of commercial and space/military product lines including multi-core DSP, RF and Silicon Photonics devices. During this period he developed software systems to automate and manage quality and reliability of complex electronics, extending this to hyperscale web based platforms that interconnect factories globally.

His passion is working with all levels, to identify and recommend solutions to business problems, based on a deep technical understanding of operational processes and product complexities.

Ryan’s Contact Info:
rgamble@intraratio.com
https://www.intraratio.com

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SOR 855 Mechanical Lessons Learned

SOR 855 Mechanical Lessons Learned

Mechanical Lessons Learned

Abstract

Kirk and Fred discussing Kirk’s recent trip to the Texas Pinball Festival (TPF) and the reliability of Pinball Machines which new designs have been produced for over six decades. Some of the mechanical assemblies have not changed in design for those many decades, even though some changes would be simple and useful, but change is difficult in this very small group of manufacturers.
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QDD 105 QDD Redux Ep. 1: How Many Do We Need to Test?

QDD 105 QDD Redux Ep. 1: How Many Do We Need to Test?

QDD Redux Ep. 1: How Many Do We Need to Test?

 

SHOW NOTES

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 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.

The next 4 episodes of this QDD Redux are taking the next steps.

In this episode we review sampling for design tests. We talk through a generic thought process for choosing a statistically relevant sample size and propose some basics that we can all learn about to better understand sampling.

Our goal is for us to be able to better talk through a sampling scenario with our quality and reliability engineering friends, and to better prepare for the information that they’re going to want to know when asked, “How many do we need to test?”

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MC 009 Learning and Professional Development

MC 009 Learning and Professional Development

Learning and Professional Development

In this episode I discuss learning and professional development. There’s so much to know to be an engineer and college courses cover the tip of the iceberg, even if you go to grad school. I learned this early in my career as I was faced with decisions and problems related to topics that I never encountered in school. I also learned that I had to shoulder the responsibility of learning the topics. Some of the learning came from colleagues, some came from taking short courses, and some came from reading textbooks and technical journals. In this episode I discuss my learning experiences and philosophy about learning, the pitfalls of relying on learning just from experience, and resources for learning and professional development.

 

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Selecting a Reliability Method

Selecting a Reliability Method

Selecting a Reliability Method

podcast episode with speaker Fred Schenkelberg

A key element of reliability engineering is doing the right thing at the right time. When running an experiment or test, conducting an assessment, or performing an analysis, the method we use must fit the situation. Being busy does not add value; getting meaningful results does. [Read more…]