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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A new chart based on sample variances for monitoring the covariance matrix of multivariate processes

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Author(s):
Costa, A. F. B. [1] ; Machado, M. A. G. [1]
Total Authors: 2
Affiliation:
[1] Sao Paulo State Univ UNESP, Prod Dept, Guaratingueta, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY; v. 41, n. 7-8, p. 770-779, APR 2009.
Web of Science Citations: 23
Abstract

In this article, we propose a control chart for detecting shifts in the covariance matrix of a multivariate process. The monitoring statistic is based on the standardized sample variance of p quality characteristics we call the VMAX statistic. The points plotted on the chart correspond to the maximum of the values of these p variances. The reasons to consider the VMAX statistic instead of the generalized variance |S| are faster detection of process changes and better diagnostic features, which mean that the VMAX statistic is better at identifying the out-of-control variable. User's familiarity with sample variances is another point in favor of the VMAX statistic. An example is presented to illustrate the application of the proposed chart. (AU)

FAPESP's process: 06/00491-0 - New monitoring strategies for multivariate processes
Grantee:Marcela Aparecida Guerreiro Machado de Freitas
Support Opportunities: Scholarships in Brazil - Doctorate