A variable parameters multivariate control chart for simultaneous monitoring of the process mean and variability with measurement errors

Hamed Sabahno | Philippe Castagliola | Amirhossein Amiri

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URL :   http://research.shahed.ac.ir/WSR/WebPages/Report/PaperView.aspx?PaperID=137451
Date :  2020/02/18
Publish in :    Quality and Reliability Engineering International
DOI :  https://doi.org/10.1002/qre.2621
Link :  http://dx.doi.org/10.1002/qre.2621
Keywords :Markov chains, measurement errors, multivariate simultaneous monitoring, overall performances, variable parameters

Abstract :

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Evaluating the effect of measurement errors on either adaptive or simultaneous control charts has been a topic of interest for the researchers in the recent years. Nevertheless, the effect of measurement errors on both adaptive and simultaneous monitoring control charts has not been considered yet. In this paper, through extensive numerical studies, we evaluate the effect of measurement errors on an adaptive (variable parameters) simultaneous multivariate control chart for the mean vector and the variancecovariance matrix of p quality characteristics assumed to follow a multivariate normal distribution. In order to do so, (a) we use eight performance measures computed using a Markov chain model, (b) we consider the effects of multiple measurements as well as the error models parameters, and (c) we also consider the overall performance of this adaptive simultaneous chart including the chart parameters values optimization, which have never been considered so far for this scheme. At last, a real case is presented in order to illustrate the proposed scheme.