Assessing binary measurement systems and inspection protocols utilizing follow-up data

Abstract

ABSTRACTIndustry uses inspection protocols to protect customers from receiving non-conforming product. The two error rates of these systems are the chance of shipping non-conforming product (customer's risk) and the chance of rejecting good product (producer's risk). We investigate the properties of two inspection protocols. In these protocols, the customer uses a gold standard measurement system that determines if received components are conforming. We show that with the first inspection protocol, we can estimate its error rates using only production data. With the second protocol, we propose adding a small measurement assessment study to allow estimation of the error rates.