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/lp/de-gruyter/designing-single-sampling-plans-by-variables-using-predictive-tKWxRolZqs
- Publisher
- de Gruyter
- Copyright
- Copyright © 2010 by the
- ISSN
- 1869-6147
- eISSN
- 1869-6147
- DOI
- 10.1515/eqc.2010.021
- Publisher site
- See Article on Publisher Site
Abstract
Abstract Sampling plans by variables represent a well-known tool of acceptance sampling and often it is said that their sampling efficiency/economy is better than that of sampling plans by attributes. However, a comparison of the two types of sampling plans is questionable, because the underlying aims are different. The decision criterion in the case of sampling plans by variables is the quality of the production process, while the decision criterion of sampling plans by attributes is based on lot quality. Using sampling plans by variables is tantamount to consider the parameters of the process distribution as random variables. Based on the history of the production process, suitable prior distributions may be selected to the process parameters. In this paper, using the normal approximation for the process distribution, single sampling plans by variables are derived assuming conjugate priors for the process parameters. The performance of these plans is compared with conventional single sampling plans by variables and single sampling plans by attributes.
Journal
Economic Quality Control – de Gruyter
Published: Dec 1, 2010