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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/9501
Title: 
The Synthetic Control Chart Based on Two Sample Variances for Monitoring the Covariance Matrix
Author(s): 
Institution: 
  • Universidade Estadual Paulista (UNESP)
  • Univ New Brunswick
ISSN: 
0748-8017
Sponsorship: 
  • Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
  • Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Abstract: 
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.
Issue Date: 
1-Jul-2009
Citation: 
Quality and Reliability Engineering International. Chichester: John Wiley & Sons Ltd, v. 25, n. 5, p. 595-606, 2009.
Time Duration: 
595-606
Publisher: 
John Wiley & Sons Ltd
Keywords: 
  • control charts
  • covariance matrix
  • synthetic
  • generalized variance
Source: 
http://dx.doi.org/10.1002/qre.992
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/9501
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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