Apr 16 2021
Measuring QC Efficacy: A Proposal
[The featured image is of a Vietnamese satellite undergoing final test in Japan]
As Jay Bitsack pointed out in his comments on LinkedIn about my previous post, the portability of a method from epidemiology to manufacturing quality is not a foregone conclusion. Formally, the logic of validating a vaccine seems applicable to the solution of a quality problem. They look similar when you consider only outcomes in terms of infection rates or the proportion of defectives.
There are differences between data sets from a clinical trial and tests run before and after a process change in production that may affect the applicability of a method. We examine the conditions for the approach developed by Carlo Graziani for vaccine efficacy to cross over to quality control. Then we work out the math of Graziani’s method and the means to apply it.

Feb 11 2022
Scientific Thinking and Manufacturing Improvement
“Scientific thinking” appears more and more in discussions of Lean, Kaizen, or TPS. What is it? Well, it’s the way scientists think. In reality, however, talk to actual scientists about PDCA, DMAIC, the 8D, A3 thinking, Why-Why analysis, TRIZ, or even statistical design of experiments, and their eyes glaze over. Most will have no idea what these methods are. This is true for physicists, chemists, biologists, or even economists. If you elaborate, they will dismiss these tools as trivial or devoid of any connection with their work.
Improving how things are made does make the world a better place but it’s not science. By growing a body of knowledge that is our greatest asset as a species, scientists make another contribution, that we should recognize as different.
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By Michel Baudin • Laws of nature 1 • Tags: Engineering, Management, Manufacturing, Scientific Thinking, Technology