Monitoring bivariate process

Pesquisa Operacional

Marcela A. G. Machado¹  Antonio F. B. Costa¹  Fernando A. E. Claro¹ 

[1] ,São Paulo State University Production Department Guaratinguetá SP ,Brazil

关键词: control charts;    bivariate processes;    mean vector;    covariance matrix;    gráficos de controle;    processos bivariados;    vetor de médias;    matriz de covariâncias;   

DOI  :  10.1590/S0101-74382009000300005

来源: SciELO

【 摘 要 】

The T² chart and the generalized variance |S| chart are the usual tools for monitoring the mean vector and the covariance matrix of multivariate processes. The main drawback of these charts is the difficulty to obtain and to interpret the values of their monitoring statistics. In this paper, we study control charts for monitoring bivariate processes that only requires the computation of sample means (the ZMAX chart) for monitoring the mean vector, sample variances (the VMAX chart) for monitoring the covariance matrix, or both sample means and sample variances (the MCMAX chart) in the case of the joint control of the mean vector and the covariance matrix.

【 授权许可】

CC BY   
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