The double sampling and the EWMA charts based on the sample variances


Autoria(s): Machado, Marcela A. G.; Costa, Antonio F. B.
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

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