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Interpreting Data in Context

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In memory of Al Phadt, Ph.D.

Organizing an Ishikawa Chart for Complex Analysis

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Skewness Visualized

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"New Age House" Credit: Russ Seidel

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The computation for skewness does not fully describe everything that happens as a distribution becomes more skewed. Here we shall use some examples to visualize just what skewness does—and does not—involve.

CAPA, FMEA, and the Process Approach

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Corrective action and preventive action (CAPA) is probably the most important process in any quality management system because so much else depends on it.

The Cumulative Sum Technique

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The cumulative sum (or Cusum) technique is occasionally offered as an alternative to process behavior charts, even though they have completely different objectives. Process behavior charts characterize whether a process has been operated predictably.

OpusWorks S.O.A.R. 2022 Conference

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Over two days, engage in eight unique best practice sessions with 11 process improvement and thought leaders at S.O.A.R. 2022, OpusWorks’ annual virtual conference.

Being in the Ohno Circle

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In today’s column, I’m looking at the Ohno Circle in light of German philosopher Martin Heidegger’s 

Top 10 Things You Need to Know About Reverse FMEAs

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On Dec. 7, 2021, Ford Motor Co.

Everything You Need to Know About Root Cause Analysis

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At some point, every medical device company will encounter an issue that requires an internal investigation.

The Answer to Manufacturing’s Waste Problem is Hidden in Data

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As the world moves toward a new, post-pandemic normal, industries must leverage digital transformation at an accelerated pace. This is already happening.

Pagination

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