The Synthetic Control Chart Based on Two Sample Variances for Monitoring the Covariance Matrix


Autoria(s): Machado, M. A. G.; Costa, A. F. B.; Rahim, M. A.
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

20/05/2014

20/05/2014

01/07/2009

Resumo

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

In this article, we propose a new statistic to control the covariance matrix of bivariate processes. This new statistic is based on the sample variances of the two quality characteristics, in short VMAX statistic. The points plotted on the chart correspond to the maximum of the values of these two variances. The reasons to consider the VMAX statistic instead of the generalized variance vertical bar S vertical bar are its faster detection of process changes and its better diagnostic feature, that is, with the VMAX statistic it is easier to identify the out-of-control variable. We study the synthetic chart based on the VMAX statistic. The proposed chart is always more efficient than the chart based on the generalized variance vertical bar S vertical bar. An example is presented to illustrate the application of the proposed chart. Copyright (C) 2008 John Wiley & Sons, Ltd.

Formato

595-606

Identificador

http://dx.doi.org/10.1002/qre.992

Quality and Reliability Engineering International. Chichester: John Wiley & Sons Ltd, v. 25, n. 5, p. 595-606, 2009.

0748-8017

http://hdl.handle.net/11449/9501

10.1002/qre.992

WOS:000268549800012

Idioma(s)

eng

Publicador

John Wiley & Sons Ltd

Relação

Quality and Reliability Engineering International

Direitos

closedAccess

Palavras-Chave #control charts #covariance matrix #synthetic #generalized variance
Tipo

info:eu-repo/semantics/article