An adaptive hierarchical Bayes quality measurement plan
✍ Scribed by Partha Lahiri; Huilin Li
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 89 KB
- Volume
- 25
- Category
- Article
- ISSN
- 1524-1904
- DOI
- 10.1002/asmb.778
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✦ Synopsis
Abstract
The quality of a production process is often judged by a quality assurance audit, which is essentially a structured system of sampling inspection plan. The defects of sampled products are assessed and compared with a quality standard, which is determined from a tradeoff among manufacturing costs, operating costs and customer needs. In this paper, we propose a new hierarchical Bayes quality measurement plan that assumes an implicit prior for the hyperparameters. The resulting posterior means and variances are obtained adaptively using a parametric bootstrap method. Published in 2009 by John Wiley & Sons, Ltd.