Comments on: Understanding Statistical Process Control [VIDEO] – With Eduardo Santiago
https://www.isixsigma.com/training/video-interviews/understanding-spc/
Six Sigma Quality Resources for Achieving Six Sigma ResultsFri, 24 May 2019 20:27:19 -0400
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By: SF Lau
https://www.isixsigma.com/training/video-interviews/understanding-spc/#comment-5341
Fri, 28 Mar 2014 02:29:43 +0000https://www.isixsigma.com/?p=6078#comment-5341Good sharing on SPC in classroom presentation. I learnt a lot today.
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By: Thomas Whitney
https://www.isixsigma.com/training/video-interviews/understanding-spc/#comment-5340
Tue, 17 Apr 2012 13:07:01 +0000https://www.isixsigma.com/?p=6078#comment-5340Six Sigma heven definition: I stated it not so clearly. Six Sigma Heaven is when the Y variable shifts from a statistically high/low value to a statistically low/high value in just up to 3 to 4 data points. This wide shift in so short a time has a tangible and real X driving the large statistical shift. Hope all the possible sources of the shift are monitored. This is statistical problem solving.
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By: Thomas Whitney
https://www.isixsigma.com/training/video-interviews/understanding-spc/#comment-5339
Tue, 17 Apr 2012 12:49:02 +0000https://www.isixsigma.com/?p=6078#comment-5339Good class presentation. I wish that the the finding of possible X factors for the reason for statistical shifts in the Y variable would be more emphasized. Selecting rational sub groups attempts to minimize variation for the obvious “by” variables but when there is still large statistical shifts one is in “Six Sigma Heaven” as I like to say. There IS something tangible and real that caused the shift. Any time a key variable, Y, is plotted all of the possible “by” variables need to be monitored or plotted. A good fishbone or five whys or FMEA should be completed to find the most probable sources of variation and monitored. When the Y variable shifts at a statistically significant level one must be able to quickly know which X also changed. That is how statistical problem solving works best.
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