A Multivariate Discriminator for Process Drift

Liu, Y; Xu, J; Akpolat, H

A Multivariate Discriminator for Process Drift

Liu, Y Xu, J Akpolat, H

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Publisher:: Korean Society for Quality Management
Publication Type:: Journal Article
Citation:: The Asian Journal on Quality, 2002, 3 (1), pp. 119 - 128
Issue Date:: 2002-01

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Field	Value	Language
dc.contributor.author	Liu, Y	en_US
dc.contributor.author	Xu, J	en_US
dc.contributor.author	Akpolat, H	en_US
dc.date.issued	2002-01	en_US
dc.identifier.citation	The Asian Journal on Quality, 2002, 3 (1), pp. 119 - 128	en_US
dc.identifier.issn	1598-2688	en_US
dc.identifier.uri	http://hdl.handle.net/10453/10026
dc.description.abstract	Multivariate Exponentially Weighted Moving Average (MEWMA) chart is a control chart under multivariate process based on the idea of EWMA that rapidly detects small dispersion with a trend. The MEWMA chart was first time discussed by Woodall. However, in his study the correlativity among the multivariate was not considered for the selection of the constant of the diagonal matrix (the smooth parameter i.). In this paper, the EWMA chart with a generalized smooth parameter matrix has been discussed which is believed to have a better fitness for practical production processes than Woodall's approach.	en_US
dc.publisher	Korean Society for Quality Management	en_US
dc.relation.ispartof	The Asian Journal on Quality	en_US
dc.title	A Multivariate Discriminator for Process Drift	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	3	en_US
utslib.for	150313 Quality Management	en_US
utslib.for	0910 Manufacturing Engineering	en_US
utslib.for	1503 Business and Management	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
pubs.organisational-group	/University of Technology Sydney/Strength - GEVI - Green Energy and Vehicle Innovations
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.issue	1	en_US
pubs.volume	3	en_US

Abstract:

Multivariate Exponentially Weighted Moving Average (MEWMA) chart is a control chart under multivariate process based on the idea of EWMA that rapidly detects small dispersion with a trend. The MEWMA chart was first time discussed by Woodall. However, in his study the correlativity among the multivariate was not considered for the selection of the constant of the diagonal matrix (the smooth parameter i.). In this paper, the EWMA chart with a generalized smooth parameter matrix has been discussed which is believed to have a better fitness for practical production processes than Woodall's approach.

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http://hdl.handle.net/10453/10026