The development of a destructive sampling method designed for high quality production processes (DSM-HQ)

The development of a destructive sampling method designed for high quality production processes... Customers are requiring producers to conduct destructive testing using traditional sampling techniques as monitoring tools. These techniques are not well suited for situations where the quality is high and tests are destructive since a high number of units need to be tested (and in turn destroyed) in order to guarantee good quality. Furthermore, traditional sampling methods are not specifically designed to monitor a high-quality production process where destructive tests are required and therefore make costly and inefficient monitoring tools. A sampling method is developed to monitor quality in high-quality processes where destructive testing is required. This method is based on a cost function, which balances the costs of sampling versus the costs of finding a defect on the field. It assumes a Poisson process defect pattern and uses an empirical Bayes updating scheme. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

The development of a destructive sampling method designed for high quality production processes (DSM-HQ)

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Publisher
Springer Netherlands
Copyright
Copyright © 2009 by Springer Science+Business Media B.V.
Subject
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-009-9222-2
Publisher site
See Article on Publisher Site

Abstract

Customers are requiring producers to conduct destructive testing using traditional sampling techniques as monitoring tools. These techniques are not well suited for situations where the quality is high and tests are destructive since a high number of units need to be tested (and in turn destroyed) in order to guarantee good quality. Furthermore, traditional sampling methods are not specifically designed to monitor a high-quality production process where destructive tests are required and therefore make costly and inefficient monitoring tools. A sampling method is developed to monitor quality in high-quality processes where destructive testing is required. This method is based on a cost function, which balances the costs of sampling versus the costs of finding a defect on the field. It assumes a Poisson process defect pattern and uses an empirical Bayes updating scheme.

Journal

Quality & QuantitySpringer Journals

Published: May 13, 2009

References

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