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Multivariate Information in Univariate Control Charts

Multivariate Information in Univariate Control Charts Abstract Statistical Process Control (SPC) has been established in many industries over the last decades. Particularly, the automotive industry including its suppliers of components is responsible for the spread of SPC supported by different norms. By means of process capability indices the fulfilment of requirements with respect to a product is examined, while control charts are used to monitor a process over time by measuring and analyzing continuously the product variables characterizing product quality. This may lead to high costs, which arise mainly as a result of sampling the data. The objective is to recognize and correct changes in quality as soon as possible. This can be achieved by shorter sampling intervals or by an improved analysis of the data. Conditional control charts are a new way of analyzing sample data by using multivariate information provided in classical control charts, which increase the sensibility of control charts. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Economic Quality Control de Gruyter

Multivariate Information in Univariate Control Charts

Economic Quality Control , Volume 22 (2) – Oct 1, 2007

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Publisher
de Gruyter
Copyright
Copyright © 2007 by the
ISSN
1869-6147
eISSN
1869-6147
DOI
10.1515/EQC.2007.211
Publisher site
See Article on Publisher Site

Abstract

Abstract Statistical Process Control (SPC) has been established in many industries over the last decades. Particularly, the automotive industry including its suppliers of components is responsible for the spread of SPC supported by different norms. By means of process capability indices the fulfilment of requirements with respect to a product is examined, while control charts are used to monitor a process over time by measuring and analyzing continuously the product variables characterizing product quality. This may lead to high costs, which arise mainly as a result of sampling the data. The objective is to recognize and correct changes in quality as soon as possible. This can be achieved by shorter sampling intervals or by an improved analysis of the data. Conditional control charts are a new way of analyzing sample data by using multivariate information provided in classical control charts, which increase the sensibility of control charts.

Journal

Economic Quality Controlde Gruyter

Published: Oct 1, 2007

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