#402 – INTRODUCTION TO THE 6 SIGMA DESIGN APPROACH – FRED SCHENKELBERG

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Sigma, σ, is the Greek character we use to represent standard deviation. 6 σ represents the spread of data about the mean. For data with a normal distribution 6 σ includes 99.7% of the data.

The 6 σ design approach incorporates knowledge of the variation that will occur within the design such that the design has is unlikely to fail. Continue reading

#401 – WHEN MANAGEMENT DOESN’T LISTEN – FRED SCHENKELBERG

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A Bloomberg articles details the Takata airbag recall series of events. The line that caught my attention is:

…company documents suggesting that Takata executives discounted concerns from their own employees and hid the potential danger…

“Sixty Million Car Bombs: Inside Takata’s Airbag Crisis”, Susan Berfield, et.al. Bloomberg Business Week, posted June 2nd, 2016, https://www.bloomberg.com/news/features/2016-06-02/sixty-million-car-bombs-inside-takata-s-air-bag-crisis Continue reading

#400 – ASKING QUESTIONS IS RELIABILITY ENGINEERING – FRED SCHENKELBERG

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Finding solutions is reliability engineering too.

Have you noticed that finding solutions often requires just the right question, the proper framing of the issue, the query that reveals the problem and solution?

One of the best ways to lead a team and provide a focus on reliability performance is to ask the right questions. Continue reading

#399 – INTRODUCTION TO ONGOING RELIABILITY TESTING – FRED SCHENKELBERG

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This type of reliability may have different names. A quick search of a few references in my library and I didn’t find ongoing reliability testing, ORT, in any of them.

It does exist and you may have heard of it before or even use some form of ORT. Or not. Continue reading

#398 – ENVIRONMENTAL AND USE MANUAL – FRED SCHENKELBERG

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How well can you describe the use conditions your product will experience?

How well do you need to know the use conditions?

For some situations, the environment for your product is assessable, others are not. For some situations, we guess the range of expected stresses, others we measure. Continue reading