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.
If efficacy is a useful concept in health care, it should be in manufacturing quality as well. How thoroughly a solution eradicates a problem based on outcomes is something manufacturers want to know. They also know that a number based on 50,000 units is more solid than one based on a 100 and would like to quantify how much more solid. Within a range encompassing massive segments of manufacturing, Graziani’s method provides these answers. Its math is no more complex than the foundations of classical SQC or SPC, and it requires no more power than a regular laptop computer.
Read the article published by Michel Baudin's Blog clicking here.
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