Common Reliability Mistakes

Abstract

Carl and Fred discuss some of the most common reliability mistakes they have seen in their careers, both ones they have personally made or viewed.

Key Points

Join Carl and Fred as they discuss common erroneous assumptions and other types of mistakes and how to avoid them.
Topics include:

• Not knowing how to interpret data, including confidence intervals, failure distributions
• Assuming exponential distributions and why this is often wrong
• Importance of always documenting and questioning the assumptions you make
• Why a Reliability plan is needed to ensure the right methods are applied
• Use of the Common Sense test
• Steven Covey’s Urgent-Important matrix
• What’s wrong with a Reliability Plan that merely tests a couple of units
• Blaming the customer for failures
• “One-trick pony” always using a favorite tool or method
• Having a good plan compensates for “one-trick pony”
• Need to have an overview understanding of all tools to be able to select the right tools
• Sometimes we need to move out of our comfort zone to have an open mind about tools
• Know the limitations of each tool

Enjoy an episode of Speaking of Reliability. Where you can join friends as they discuss reliability topics. Join us as we discuss topics ranging from design for reliability techniques to field data analysis approaches.

SOR 969 Common Reliability MistakesCarl S. Carlson

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