Repetitive inspection scheme based on the run length of test results: A Markov chain Monte Carlo approach

Document Type

Article

Publication Date

1-1-2020

Abstract

We propose a repetitive inspection plan that is based on the run-length of positive and negative test results. In a numerical analysis, we show that the new inspection plan outperforms previous ones in terms of the expected total cost as well as the average outgoing quality. The model parameters are often assumed to be known in advance, but we propose the use of a Bayesian method to estimate the point and interval estimates of the unknown parameters. We show that computational difficulties with prior distributions of the three parameters can be easily overcome with an appropriate MCMC method.

Publication Source (Journal or Book title)

Quality Engineering

First Page

113

Last Page

127

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