Metrics: The Good, the Bad, and the Ugly
This is the second article in a three-part series to help readers distinguish good metrics from bad. In part one we discussed good metrics.
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This is the second article in a three-part series to help readers distinguish good metrics from bad. In part one we discussed good metrics.
Chad Kymal1 gave an excellent overview of the ISO 45001 occupational health and safety (OHS) standard that was released in March 2018.
The news that General Electric ousted CEO John Flannery was surprising to many of us, and
Perhaps the reader recognizes d2 as slang for “designated driver,” but quality professionals will recognize it as a control chart constant used to estimate short-term variation of a process.
Last year I was invited to give a lecture on critical thinking to the U.S. Navy. I opened my presentation with a story I’d read in Reader’s Digest magazine as a child.
Measurement devices in manufacturing facilities are as ubiquitous as Skittles in trick-or-treat bags. Some companies have thousands of devices in their inventories and depend on them to provide accurate information.
For manufacturers in diverse sectors such as automotive, aerospace, electronics, and medical device, there’s little question that ensuring great quality would be impossible without the proper testing of materials.
Choosing the correct linear regression model can be difficult. Trying to model it with only a sample doesn’t make it any easier.
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