Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
482814 | European Journal of Operational Research | 2006 | 19 Pages |
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)
Authors
Yeh Lam, Kim-Hung Li, Wai-Cheung Ip, Heung Wong,