The double sampling and the EWMA charts based on the sample variances
Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
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Data(s) |
20/05/2014
20/05/2014
01/07/2008
|
Resumo |
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 is 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 double sampling (DS) and the exponentially weighted moving average (EWMA) charts based on the VMAX statistic. (C) 2008 Elsevier B.V. All rights reserved. |
Formato |
134-148 |
Identificador |
http://dx.doi.org/10.1016/j.ijpe.2008.01.001 International Journal of Production Economics. Amsterdam: Elsevier B.V., v. 114, n. 1, p. 134-148, 2008. 0925-5273 http://hdl.handle.net/11449/9511 10.1016/j.ijpe.2008.01.001 WOS:000257818300012 |
Idioma(s) |
eng |
Publicador |
Elsevier B.V. |
Relação |
International Journal of Production Economics |
Direitos |
closedAccess |
Palavras-Chave | #control charts #covariance matrix #double sampling #EWMA #generalized variance |
Tipo |
info:eu-repo/semantics/article |