Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4959931 | European Journal of Operational Research | 2017 | 39 Pages |
Abstract
In this paper we evaluate the statistical performance of various adaptive control schemes, which are implemented for monitoring the process mean in finite production runs. We develop formulas for the computation of a variety of indices, which reflect the statistical properties of the quality control mechanism of a production process, which is conducted through several one-sided, Bayesian x¯ control charts. Moreover, through our numerical study we evaluate the statistical performance of the economically designed adaptive x¯ control charts, in comparison with their static counterpart. Surprisingly, we find out that very often Bayes-nx¯ chart - with adaptive sample sizes but constant sampling intervals - performs better than the other Bayesian control charts, from a statistical point of view.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Yiannis Nikolaidis, George Tagaras,