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A proposed variable parameter control chart for monitoring the multivariate coefficient of variation

An efficient process monitoring system is important for achieving sustainable manufacturing. The control charting technique is one of the most effective techniques to monitor process quality. In certain processes where the process mean and variance are not independent of one another, the coefficient...

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Main Authors:	Chew, X. Y., Khoo, B. C., Khaw, K. W., Yeong, W. C. *, Chong, Z. L.
Format:	Article
Published:	Wiley 2019
Subjects:	QA Mathematics
Online Access:	http://eprints.sunway.edu.my/1452/ http://doi.org/10.1002/qre.2536
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id	my.sunway.eprints.1452
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spelling	my.sunway.eprints.14522020-10-02T03:36:36Z http://eprints.sunway.edu.my/1452/ A proposed variable parameter control chart for monitoring the multivariate coefficient of variation Chew, X. Y. Khoo, B. C. Khaw, K. W. Yeong, W. C. * Chong, Z. L. QA Mathematics An efficient process monitoring system is important for achieving sustainable manufacturing. The control charting technique is one of the most effective techniques to monitor process quality. In certain processes where the process mean and variance are not independent of one another, the coefficient of variation (CV), which measures the ratio of the standard deviation to the mean, should be monitored. In line with industrial settings, where at least two or more variables are monitored simultaneously in most processes, this paper proposes a variable parameter (VP) chart to monitor the multivariate CV (MCV). Formulae and algorithms to optimize the various performance measures are discussed. The proposed VP MCV chart is designed based on a Markov chain approach. The performance comparison shows that the proposed VP MCV chart prevails over the existing MCV charts, in terms of the average time to signal (ATS), standard deviation of the time of signal (SDTS), and expected average time to signal (EATS) criteria. An example is presented to illustrate the implementation of the proposed VP MCV chart. Wiley 2019-07-17 Article PeerReviewed Chew, X. Y. and Khoo, B. C. and Khaw, K. W. and Yeong, W. C. * and Chong, Z. L. (2019) A proposed variable parameter control chart for monitoring the multivariate coefficient of variation. Quality and Reliability Engineering International, 35 (7). pp. 2442-2461. ISSN 0748-8017 http://doi.org/10.1002/qre.2536 doi:10.1002/qre.2536
institution	Sunway University
building	Sunway Campus Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Sunway University
content_source	Sunway Institutional Repository
url_provider	http://eprints.sunway.edu.my/
topic	QA Mathematics
spellingShingle	QA Mathematics Chew, X. Y. Khoo, B. C. Khaw, K. W. Yeong, W. C. * Chong, Z. L. A proposed variable parameter control chart for monitoring the multivariate coefficient of variation
description	An efficient process monitoring system is important for achieving sustainable manufacturing. The control charting technique is one of the most effective techniques to monitor process quality. In certain processes where the process mean and variance are not independent of one another, the coefficient of variation (CV), which measures the ratio of the standard deviation to the mean, should be monitored. In line with industrial settings, where at least two or more variables are monitored simultaneously in most processes, this paper proposes a variable parameter (VP) chart to monitor the multivariate CV (MCV). Formulae and algorithms to optimize the various performance measures are discussed. The proposed VP MCV chart is designed based on a Markov chain approach. The performance comparison shows that the proposed VP MCV chart prevails over the existing MCV charts, in terms of the average time to signal (ATS), standard deviation of the time of signal (SDTS), and expected average time to signal (EATS) criteria. An example is presented to illustrate the implementation of the proposed VP MCV chart.
format	Article
author	Chew, X. Y. Khoo, B. C. Khaw, K. W. Yeong, W. C. * Chong, Z. L.
author_facet	Chew, X. Y. Khoo, B. C. Khaw, K. W. Yeong, W. C. * Chong, Z. L.
author_sort	Chew, X. Y.
title	A proposed variable parameter control chart for monitoring the multivariate coefficient of variation
title_short	A proposed variable parameter control chart for monitoring the multivariate coefficient of variation
title_full	A proposed variable parameter control chart for monitoring the multivariate coefficient of variation
title_fullStr	A proposed variable parameter control chart for monitoring the multivariate coefficient of variation
title_full_unstemmed	A proposed variable parameter control chart for monitoring the multivariate coefficient of variation
title_sort	proposed variable parameter control chart for monitoring the multivariate coefficient of variation
publisher	Wiley
publishDate	2019
url	http://eprints.sunway.edu.my/1452/ http://doi.org/10.1002/qre.2536
_version_	1680323439697592320
score	13.211869

A proposed variable parameter control chart for monitoring the multivariate coefficient of variation

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