Study of a Markov model for a high-quality dependent process

C. D. Lai, M. Xie and K. Govindaraju

Journal of Applied Statistics, 2000, vol. 27, issue 4, 461-473

Abstract: For high-quality processes, non-conforming items are seldom observed and the traditional p (or np) charts are not suitable for monitoring the state of the process. A type of chart based on the count of cumulative conforming items has recently been introduced and it is especially useful for automatically collected one-at-a-time data. However, in such a case, it is common that the process characteristics become dependent as items produced one after another are inspected. In this paper, we study the problem of process monitoring when the process is of high quality and measurement values possess a certain serial dependence. The problem of assuming independence is examined and a Markov model for this type of process is studied, upon which suitable control procedures can be developed.

Date: 2000
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DOI: 10.1080/02664760050003641

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