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A variable parameters multivariate control chart for simultaneous monitoring of the process mean and variability with measurement errors
Author(s) -
Sabahno Hamed,
Castagliola Philippe,
Amiri Amirhossein
Publication year - 2020
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.2621
Subject(s) - control chart , multivariate statistics , statistics , ewma chart , chart , multivariate normal distribution , markov chain , variable (mathematics) , observational error , covariance , computer science , variance (accounting) , covariance matrix , x bar chart , shewhart individuals control chart , mathematics , process (computing) , mathematical analysis , accounting , business , operating system
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 variance‐covariance 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 model's 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.