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Monitoring multivariate process variability when sub-group size is small

ABSTRACT: The current practice of multivariate process variability monitoring, when sub-group size is small, has nothing to do with probability of false alarm (PFA). Consequently, the reliability of the existing control charts remains undetermined. In this article, we propose a control chart which i...

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Main Authors: Djauhari, M. A., Sagadavan, R., Li, L. S.
Format: Article
Published: Taylor and Francis Inc. 2016
Subjects:
QA Mathematics
Online Access:http://eprints.utm.my/id/eprint/71991/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974679299&doi=10.1080%2f08982112.2016.1166386&partnerID=40&md5=5099d53c450a1ade8aa39dab325e4108
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spelling my.utm.719912017-11-23T04:17:44Z http://eprints.utm.my/id/eprint/71991/ Monitoring multivariate process variability when sub-group size is small Djauhari, M. A. Sagadavan, R. Li, L. S. QA Mathematics ABSTRACT: The current practice of multivariate process variability monitoring, when sub-group size is small, has nothing to do with probability of false alarm (PFA). Consequently, the reliability of the existing control charts remains undetermined. In this article, we propose a control chart which is reliable, very sensitive to the change in variance for small or moderate correlation, and provides a root causes analysis of an out-of-control signal. To illustrate these advantages, an industrial example is presented and the results are compared with those issued from the existing methods. Taylor and Francis Inc. 2016 Article PeerReviewed Djauhari, M. A. and Sagadavan, R. and Li, L. S. (2016) Monitoring multivariate process variability when sub-group size is small. Quality Engineering, 28 (4). pp. 429-440. ISSN 0898-2112 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974679299&doi=10.1080%2f08982112.2016.1166386&partnerID=40&md5=5099d53c450a1ade8aa39dab325e4108
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA Mathematics
spellingShingle QA Mathematics
Djauhari, M. A.
Sagadavan, R.
Li, L. S.
Monitoring multivariate process variability when sub-group size is small
description ABSTRACT: The current practice of multivariate process variability monitoring, when sub-group size is small, has nothing to do with probability of false alarm (PFA). Consequently, the reliability of the existing control charts remains undetermined. In this article, we propose a control chart which is reliable, very sensitive to the change in variance for small or moderate correlation, and provides a root causes analysis of an out-of-control signal. To illustrate these advantages, an industrial example is presented and the results are compared with those issued from the existing methods.
format Article
author Djauhari, M. A.
Sagadavan, R.
Li, L. S.
author_facet Djauhari, M. A.
Sagadavan, R.
Li, L. S.
author_sort Djauhari, M. A.
title Monitoring multivariate process variability when sub-group size is small
title_short Monitoring multivariate process variability when sub-group size is small
title_full Monitoring multivariate process variability when sub-group size is small
title_fullStr Monitoring multivariate process variability when sub-group size is small
title_full_unstemmed Monitoring multivariate process variability when sub-group size is small
title_sort monitoring multivariate process variability when sub-group size is small
publisher Taylor and Francis Inc.
publishDate 2016
url http://eprints.utm.my/id/eprint/71991/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974679299&doi=10.1080%2f08982112.2016.1166386&partnerID=40&md5=5099d53c450a1ade8aa39dab325e4108
_version_ 1643656331597447168
score 13.2014675

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