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Control Charts Based on the g -and- h Distribution

Control Charts Based on the g -and- h Distribution Abstract Control charts are the most popular tool to detect the occurrence of an assignable cause in a production process. Traditional control charts are based on the approximation with the normal distribution. In many practical situation, however, assuming normality is not adequate. Under these situations, the use of traditional control chart may lead to erroneous decisions. For handling non-normal process distributions one may use non-parametric control charts, however these methods are rather inefficient. Another approach is to use a generalized distribution. In this work the univariate g -and- h distribution is used to approximate non-normal process distributions. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Economic Quality Control de Gruyter

Control Charts Based on the g -and- h Distribution

Economic Quality Control , Volume 26 (1) – Sep 1, 2011

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Publisher
de Gruyter
Copyright
Copyright © 2011 by the
ISSN
1869-6147
eISSN
1869-6147
DOI
10.1515/eqc.2011.001
Publisher site
See Article on Publisher Site

Abstract

Abstract Control charts are the most popular tool to detect the occurrence of an assignable cause in a production process. Traditional control charts are based on the approximation with the normal distribution. In many practical situation, however, assuming normality is not adequate. Under these situations, the use of traditional control chart may lead to erroneous decisions. For handling non-normal process distributions one may use non-parametric control charts, however these methods are rather inefficient. Another approach is to use a generalized distribution. In this work the univariate g -and- h distribution is used to approximate non-normal process distributions.

Journal

Economic Quality Controlde Gruyter

Published: Sep 1, 2011

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