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Replacing a current measurement system in an inspection scheme: A case study

Abstract We consider a measurement system replacement case study. We show that with the collected data we can determine a decision rule for the corresponding 100 percent inspection scheme with the new measurement system that gives the same properties as the current system. However, we are unable to assess the misclassification rates for the inspection system nor could we determine the probabilities of discordance (defined later in this article). In addition, had statistical properties of the two measurement systems been substantially different, we could not have found an appropriate decision rule for the new scheme. We show that augmenting the collected data with available baseline information solves all of these problems.