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Some Group Inspection Based Multi-Attribute Control Charts to Identify Process Deterioration

Some Group Inspection Based Multi-Attribute Control Charts to Identify Process Deterioration Abstract In a production process, when quality of the product depends on more than one characteristic, ‘Multivariate Quality Control’ ( MQC ) techniques are used. Many MQC techniques have been developed to control multivariate variable processes, but not much work has been reported on multivariate attribute processes. In this article, we propose some group inspection based multi-attribute control charts to identify process deterioration. The charts proposed are the ‘Multi-Attribute np’ ( MA – np ) chart, the ‘Multi-Attribute Synthetic’ ( MA – Syn ) chart and the ‘Multi-Attribute Group Runs’ ( MA – GR ) chart. The charts are developed by using MP-test based on the exact distribution. It is numerically illustrated that, MA – GR chart performs better than the other two charts. Also in steady state MA – GR chart performs better than MA – np and MA – Syn control charts. A procedure of identifying the attributes causing signal is also proposed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Economic Quality Control de Gruyter

Some Group Inspection Based Multi-Attribute Control Charts to Identify Process Deterioration

Economic Quality Control , Volume 20 (2) – Oct 1, 2005

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References (10)

Publisher
de Gruyter
Copyright
Copyright © 2005 by the
ISSN
1869-6147
eISSN
1869-6147
DOI
10.1515/EQC.2005.191
Publisher site
See Article on Publisher Site

Abstract

Abstract In a production process, when quality of the product depends on more than one characteristic, ‘Multivariate Quality Control’ ( MQC ) techniques are used. Many MQC techniques have been developed to control multivariate variable processes, but not much work has been reported on multivariate attribute processes. In this article, we propose some group inspection based multi-attribute control charts to identify process deterioration. The charts proposed are the ‘Multi-Attribute np’ ( MA – np ) chart, the ‘Multi-Attribute Synthetic’ ( MA – Syn ) chart and the ‘Multi-Attribute Group Runs’ ( MA – GR ) chart. The charts are developed by using MP-test based on the exact distribution. It is numerically illustrated that, MA – GR chart performs better than the other two charts. Also in steady state MA – GR chart performs better than MA – np and MA – Syn control charts. A procedure of identifying the attributes causing signal is also proposed.

Journal

Economic Quality Controlde Gruyter

Published: Oct 1, 2005

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