Practical Measurement Systems Analysis for Design – Work Smarter

podcast episode with speaker Rob Schubert

Gage R&R – this is mainly a quality tool, where 10% is a pass and 10-30% is “marginal.” What does that mean, or even better yet, how can I use gage R&R to provide meaningful results in a design environment without specifications? In 30 minutes, we will discuss how you can calculate Gage discrimination – the more useful result for a design situation, and even how to use it for destructive reliability tests.
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Confidence in Reliability

podcast episode with speaker Chris Jackson

Reliability is a measure of your product or system. Confidence is a measure of you. But we often forget this. We often subject our new product, system, or service to test after test until it reaches this thing called ‘required statistical confidence.’ But this is often an illusion, which is great! Because if statistical confidence is often not ‘real’ confidence, then we don’t always have to resort to statistics to get confidence. In fact, those of us who exclusively rely on statistics are usually those who lack confidence in the product, system or service and need a security blanket to make them feel OK. This webinar talks about confidence from the perspective of the ‘process owner.’ The design team lead. The CTO. The junior engineer. And how you can get a much healthier version of confidence through the way we design and produce our ‘things’ so that when it comes time to test … we are (justifiably) supremely confident that we will absolutely dominate whatever statistical testing hurdle can be thrown our way. And this sometimes means we don’t need to deal with statistics at all!
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Reliability and Maintenance

podcast episode with speaker Fred Schenkelberg

Both reliability and maintenance activities work to reduce failures and downtime. Perfect reliability of a system would eliminate the need for maintenance. Perfect maintenance would keep even poorly designed (reliability-wise) operating.

Together, the work of reliability and maintenance professionals can achieve more than each team working separately. Each brings a set of insights and skills to the conversation. Working together means improving the design of a system so it’s easier to maintain. It also means the maintenance teams’ day-to-day observations provide meaningful information to the reliability team.

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Basic Mathematical Symbols and Stuff

podcast episode with speaker Chris Jackson

OK … we have all been there. We have all sat in some statistical presentation or read a document containing mathematical symbols and statistical hieroglyphics we don’t understand. And we pretend we do understand so that we don’t embarrass ourselves. The people we don’t want to embarrass ourselves in front of usually also pretend to understand those symbols and hieroglyphics. This webinar is a light (re)introduction to common mathematical symbols used in many engineering scenarios … including reliability. [Read more…]

Risk Decision Making, Frameworks, and Assessments

podcast episode with speaker Greg Hutchins

Disruption has been one of the major news items in 2022. Disruption results in risk. You can see ‘risk’ in almost every video, magazine, and blog. Russia’s invasion of Ukraine. Supply chain disruption. Climate change. New business models. Reshoring. Inflation. Price of gasoline. Can you imagine $10/gallon gasoline?

Greg will answer the following:

What is risk-based, problem-solving, and decision-making in reliability engineering and quality?

What are risk PDCA, taxonomies, risk assessment, risk management, etc?

What are the two critical risk management frameworks for problem-solving and decision-making?

What are examples of risk assessment tools? [Read more…]

How to Take the Guess Work out of Expert Judgment

podcast episode with speaker Chris Jackson

Most humans can be quite technically minded. And sometimes we aren’t. Sometimes, we expect every drug or medical procedure to be checked, approved, validated, and tested on other people (et cetera) before subjecting ourselves to whatever our doctor suggests. At other times, we spend lots of money at casinos (note that I said ‘spend’ and not ‘invest’ or ‘win’). When it comes to reliability, we can sometimes be too technically minded. A reliability ‘number’ might not exist until our product has undergone exhaustive testing. Which can often be two years too late to do anything about if it turns out it doesn’t meet all our reliability dreams. So what can we do? Well … why spend money trying to generate information (through lengthy tests) when you can use the information stored in everyone’s brain? The most common answer (even if we don’t want to admit it) is that this sounds like guesswork. And guesswork can sound unprofessional. Or it’s just wrong. But there are ways you can suck out information from a group of experts in a quantifiable and remarkably accurate way. Want to learn more? This webinar introduces you to some of the concepts that might interest you.
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How to Check a Regression Fit

podcast episode with speaker Fred Schenkelberg

When fitting a line or curve to data, it’s a model. When modeling, it is worth remembering the George Box quote, “Essentially all models are wrong, but some are useful.” Yet, how do we separate a useful model from one that isn’t useful? One step in finding a helpful regression model is to consider the residuals. BTW: Weibull analysis is another term for regression analysis. [Read more…]

What is Reliability Growth?

podcast episode with speaker Chris Jackson

Sounds simple, right? And it is. Reliability growth literally refers to a process where we improve the reliability of a product, system, or service. But sometimes we find ourselves in situations where it is expected that not only do we understand reliability growth … but measure it. And predict how much it will grow in the future. This is sometimes called Reliability Growth Testing (RGT), Reliability Growth Planning (RGP), or Reliability Growth Prediction. And there are lots of equations and models for all these things. But do these models actually model the ‘real world?’ … can they work for you? … SHOULD they work for you? This webinar introduces you to the topic of reliability growth (both qualitative and quantitative) along with key concepts (like the Duane Failure Pattern) to help you work out if there is (or is not) a place for reliability growth in your organization.
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