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Is Statistical Process Control Still Relevant?

Part 8: A summary of our series

Control charts help to understand a process’s “personality,” know which questions to ask, when to intervene, and when to leave a process alone. Photo by Erik Kroon on Unsplash.

Douglas C. Fair
Scott A. Hindle
Mon, 04/08/2024 - 12:03
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All articles in this series
Is Statistical Process Control Still Relevant? [Part 1]
Control Charts in Manufacturing: Are They Still Relevant? [Part 2]
Strategies for Using SPC With High-Speed Data Collection Systems [Part 3]
Measurement Data and Getting the Basics Right [Part 4]
Modernizing Your SPC System Can Drive Huge Improvements in Quality and Cost [Part 5]
What Can Your Process Achieve? [Part 6]
SPC Outside of Manufacturing [Part 7]
Is Statistical Process Control Still Relevant? [Part 8]
Body

In less than two months we will celebrate the 100th anniversary of the invention of the control chart, a tool most often associated with statistical process control (SPC). Considering SPC from our modern perspective made us ask, “Is SPC still relevant?”

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It’s a question asked within the purview of amazing technologies that many of us have at our fingertips. We’re convinced that SPC is at least as relevant today as it was 100 years ago, through World War II (when SPC was successfully used to ensure quality and efficiency in U.S. war production), and throughout the manufacturing boom of the last 60-plus years.

 …

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Comments

Submitted by Nuno Sr. Costa (not verified) on Mon, 04/08/2024 - 09:33

example

The authors affirm that "I [Douglas Fair] have used them to great effect, saving customers tens of millions of dollars." Let us know, with details, where and how.  thanks

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Submitted by Douglas C Fair (not verified) on Sat, 04/13/2024 - 06:44

In reply to example by Nuno Sr. Costa (not verified)

Thanks for your question,…

Thanks for your question, and it is a good one. I would love to provide details specific to the many successes we have been a part of over the decades, however, there are two specific reasons why I cannot. First, when I worked at InfinityQS, our customers required that NDA's be signed stating (unequivocally) that we were barred from sharing details of our engagements. Second, I have found that many organizations we worked with (especially the larger, international companies) were reluctant to share success stories as it could communicate to their customers that they themselves were unaware of quality concerns inside their own four walls. Worse, those success stories could communicate to the entire world that the issues/improvement opportunities were uncovered through the use of 3rd party expertise and involvement (like ours), instead of improvements being generated by their own internal staff. This detail alone could communicate negativity to the marketplace regarding quality operators internal to the organization. Believe me, I'd like nothing more than to share with you - and the world - the details for how our customers saved tens of millions dollars through their use of statistical methods, but sadly, I cannot. Cheers.    

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