
Sample Size Considerations
Abstract
Dianna and Fred discuss sample size considerations for reliability testing.
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Your Reliability Engineering Professional Development Site
Host of Quality during Design podcast and co-host of the Speaking of Reliability podcast.
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by Dianna Deeney Leave a Comment
Dianna and Fred discuss sample size considerations for reliability testing.
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by Dianna Deeney Leave a Comment
Ever hit that wall where your creative tank feels bone dry? That moment when you’ve been grinding away at your projects, head down for so long that when someone asks for innovation, you come up empty? You’re not alone.
Creative slumps happen when we get too immersed in our specialized domains. As engineers and designers, we develop expertise through consistent application of familiar tools and techniques. But that same specialization creates mental echo chambers where we recycle the same ideas and follow habitual thought patterns. The result? When innovation is needed most, we feel frustratingly blocked.
The solution lies in cross-pollination – deliberately exposing ourselves to diverse inputs that spark unexpected connections.
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We’re developing requirements for our product, including setting reliability requirements. Or we’re setting acceptance criteria for our test plans.
What confidence levels do we choose? We don’t have to blindly set them – we can base it off the risks of failure, using our FMEA (failure mode effects analysis).
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As a Generation X engineer, I’ve witnessed remarkable shifts in how we approach design engineering.
Recently, I saw an article suggesting Gen X is frustrated because the skills we learned early in our careers no longer apply in today’s technological landscape. This characterization made me pause and reflect. While our tools have certainly evolved dramatically, I believe we’re experiencing something more nuanced than obsolescence.
With AI in design, we’re coming full circle, with artificial intelligence and machine learning enhancing rather than replacing the fundamental skills we developed.
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Dianna and Fred discuss long-form reading. Is it in decline?
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Good reliability requirements are going to drive our design decisions relating to the concept, the components, the materials, and other stuff. So, the moment to start defining reliability requirements is early in the design process. But, what makes a well-defined reliability requirement? There are five aspects it should cover: do you know what they are?
We’ll describe what makes a good reliability requirement and examples of common (but not good) requirements.
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In today’s fast-paced manufacturing landscape, the link between product quality and supplier agreements is more critical than ever.
Custom product development can be complex, and regarding suppliers, we can uncover hidden challenges. These come up when suppliers are not aligned with the quality standards necessary for our products to be successful.
Join us as we discuss various types of supplier agreements commonly encountered in new product launches. They are important, but do they have what you need to ensure quality?
Tune in to learn how to transform your supplier partnerships into an invaluable asset in your quest for quality excellence.
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Does the phrase “Subjective Probability Estimation” make you feel uncomfortable? If you’re a data-driven professional, you’re likely wary of each of those terms on their own, let alone combining them into one thing.
But we sometimes need to do it. And we can practice to get better at it.
In this episode, we emphasize the importance of subjective probability estimations in decision-making, especially in situations where concrete data may be unavailable or impractical.
We talk about:
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Dianna and Fred discuss building a reliability team.
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How are quality tools Legos of development?
We talk about two philosophies of brick building and our use of the family of quality tools.
We also talk about seven uses of quality tools in product development.
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Tradespeople bring expertise, innovation, high quality, and leadership to product development. If we’re lucky enough to be able to work with them, they’re an invaluable part of the engineering team.
What about when we’re working without them? How can we create a culture of craftsmanship in a company that uses a quality system?
In this episode, we talk about the crafts’ and trades’ relationship with quality systems, and steps toward creating a culture of craftsmanship.
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When you perform analysis and share it with others to make a decision, do you sometimes just send the file with a blurb in an email? Only to not quite remember what you did later, when you need it most.
There’s a simple, relatively fast thing to do: a Mini Report. And it provides so much more than just jogging a memory.
Mini reports are a valuable tool for communication in engineering. By using them, engineers can enhance team collaboration, streamline decision-making, and provide mentorship opportunities to junior colleagues.
We talk about:
Dianna and Fred discuss requests to engineers to make it less robust.
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