Speaking Of Reliability: Friends Discussing Reliability Engineering Topics | Warranty | Plant Maintenance

Reliability.FM: Accendo Reliability, focused on improving your reliability program and career
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Jun 20, 2022 • 0sec

SOR 767 Decision Making for Reliability

Decision Making for Reliability Abstract Greg and Fred discussing risk based, decision making for reliability and quality engineers. Key Points Join Fred and Greg as they discuss decision making in reliability, quality, and engineering.  Good  decision making may be the key personal differentiator for all engineers in an age when a work smart phone will […]
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Jun 17, 2022 • 0sec

SOR 766 What Matters in a Demonstration Test

What Matters in a Demonstration Test? Abstract Carl and Fred discussing a listener question about how which failures to count in demonstration testing. Specifically, what about maintenance induced failures, supply chain failures and other types of failures, not typically part of the product design. Key Points Join Carl and Fred as they discuss reliability demonstration […]
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Jun 13, 2022 • 0sec

SOR 765 Fast vs Thorough

Fast vs Thorough Abstract Carl and Fred discussing the need to be fast in smaller or startup companies. Reliability engineering can adapt to a fast culture and support lean product development, without compromising essential tasks. Key Points Join Carl and Fred as they discuss the product development process in small companies, balancing the need to […]
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Jun 10, 2022 • 0sec

SOR 764 Regression Metrics

Software packages and textbook methods can often give us a single 'number' that tells us how good a potential model is (or not) for the data we get from observing a process. But ... you need to understand that this is by no means a 'perfect' way of trying to understand your process. Relying on software to think for you means that you don't understand what is going on. And that means your analysis won't be based on an understanding of what is going on either.
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Jun 6, 2022 • 0sec

SOR 763 Technology Only Goes So Far

We often try and 'engineer' reliable solutions. We find technological solutions to as many failures as possible. But it can only go so far - mainly because there is usually a human involved in most systems.
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Jun 3, 2022 • 0sec

SOR 762 Problem Solving with Customer Service

Problem Solving with Customer Service Abstract Dianna and Fred discussing customer service: personal and professional experiences. Key Points Join Dianna and Fred as they discuss problem solving with customer service. Topics include: partnering with a customer service agent when you’re the customer coordinating with the customer service department when you’re an engineer at the same […]
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May 30, 2022 • 0sec

SOR 761 Encouraging New Engineers

Encouraging New Engineers Abstract Dianna and Fred discussing why and how to encourage new engineers and foster younger generations to consider engineering as a profession. Key Points Join Dianna and Fred as they discuss how to get new generations involved in engineering. Topics include: Getting active in youth programs. Fostering curiosity by letting others do […]
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May 27, 2022 • 0sec

SOR 760 Dealing with Suppliers

Dealing with Suppliers Abstract Kirk and Fred discussing dealing with suppliers in dealing with failures in complex interconnected systems. Key Points Join Kirk and Fred as they discuss the many different responses and challenges that different subsystem suppliers can have when trying to get their help with a reliability issue. Topics include: Much of a […]
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May 23, 2022 • 0sec

SOR 759 Talking about HALT

Talking about HALT Abstract Kirk and Fred discussing a basic subject that Kirk has been speaking about for over three decades, Highly Accelerated Life Testing (HALT) and carrying the ideas of Gregg Hobbs, Ph.D. who termed the acronym and methodology Key Points Join Kirk and Fred as they discuss a subject that is a new […]
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May 20, 2022 • 0sec

SOR 758 Incomplete Data

Reliability engineers need to deal with 'incomplete data.' Incomplete data is not bad. It is common. So we need to get used to dealing with. So what is 'incomplete data' and how do we use it?

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