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Inside Quality Digest Live for Oct. 26, 2018

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In this episode we look at a history of quality, how you serve your customer in the housing industry, and what makes a good review.

Metrics: The Good, the Bad, and the Ugly

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Metrics are an important part of an effective quality management system (QMS). They are necessary to understand, validate, and course-correct the QMS. They should be used to verify that it is achieving the goals and objectives defined by management.

Inside Quality Digest Live for Oct. 12, 2018

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In this episode we look at data, data, more data, and then... engineering the perfect human?

Applying the Procedures of MIL-STD-105 to Imaginary Limits

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In my first article, the merits and cautions of AS9138 c=0 sampling plans were discussed and a simple formula was provided to determine the required sample size to d

Using MIL-STD-105 As a Process Control Procedure

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In my previous article, I discussed the merits and cautions of the “acceptance number” equal zero (c=0) sam

The Paradox of Acceptance Sampling

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Aerospace standard AS9138—“Quality management systems statistical product acceptance requirements” was issued this year (2018), a few years after its accompanying guidance materials in sectio

Inside Quality Digest Live for Sept. 28, 2018

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In this all-manufacturing episode, we look at the STEM pipeline into manufacturing, supplier development, how to make sense of manufacturing data and, no, manufacturing is not dead.

Data Snooping, Part 3

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Parts One and Two of this series illustrated four problems with using a model-building ap

‘Why Deming? Why Now?’... Why the Need for a Different ‘Method’

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During the early 1990s, I was president of the Twin Cities Deming Forum. I had a wonderful board whose members were full of great ideas. One member, Doug Augustine, was a 71-year-old retired Lutheran minister and our respected, self-appointed provocateur.

<em>Measures of Success</em>

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In the foreword of Mark Graban’s book, Measures of Success: React Less, Lead Better, Improve More (Constancy Inc., 2018), renowned statistician, Donald J.

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