Article ID Journal Published Year Pages File Type
482814 European Journal of Operational Research 2006 19 Pages PDF
Abstract

In this paper, a sequential variable sampling plan is studied. Suppose that the quality of an item in a batch is measured by a normally distributed random variable with a known variance, but the mean is unknown with a normal prior distribution. Then by using Bayesian approach and considering a Markov decision process, the optimality equations for the minimum total expected cost are formulated. We show that an optimal decision rule will have a control limit structure. An algorithm for a sequence of ϵ-optimal decisions is introduced. Then, the statistical procedure for conducting the sequential sampling plan is presented.

Related Topics
Physical Sciences and Engineering Computer Science Computer Science (General)
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