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A Multivariate Discriminator for Process Drift

Yumin Liu (Business School, Zhengzhou University, Zhengzhou, P.R. China)
Jichao Xu (Quality Engineering Division, Zhengzhou Institute of Aero, Zhengzhou, P.R. China)
Hasan Akpolat (Faculty of Engineering, University of Technology, Sydney, Australia)

Asian Journal on Quality

ISSN: 1598-2688

Article publication date: 17 April 2002

77

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 λ). 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.

Keywords

Citation

Liu, Y., Xu, J. and Akpolat, H. (2002), "A Multivariate Discriminator for Process Drift", Asian Journal on Quality, Vol. 3 No. 1, pp. 119-128. https://doi.org/10.1108/15982688200200011

Publisher

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MCB UP Ltd

Copyright © 2002, MCB UP Limited

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