Attribute control charts for monitoring the covariance matrix of bivariate processes
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Data
2018-03-01
Autores
Machado, M. A.G. [UNESP]
Ho, L. L.
Costa, A. F.B. [UNESP]
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Resumo
In this article, we consider the use of 3 attribute charts—the npxy, the npw and the Max D charts—to control the covariance matrix of bivariate processes. In comparison with the generalized variance |S| chart, the 3 attribute charts signal faster, with smaller samples, all kind of disturbances, except when the 2 variables are highly correlated. To compete with the VMAX chart, the Max D chart needs larger samples, but no more than twice bigger. An example illustrates the monitoring of the covariance matrix using the Max D and npw.
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Average Run Length, discriminating limits, generalized variance, Max D, npw, npxy
Como citar
Quality and Reliability Engineering International, v. 34, n. 2, p. 257-264, 2018.