An eigenvalue control charting for process variability monitoring

This paper proposes a control charting of each eigenvalue of sample covariance matrix to monitor the shift in multivariate process variability. Its performance will be compared with sample generalized variance chart, the most widely used control charting in practice. A case study using a real indust...

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Main Authors: Noor, A. M., Djauhari, Maman Abdurachman
Format: Conference or Workshop Item
Published: 2011
Online Access:http://eprints.utm.my/id/eprint/45555/
http://dx.doi.org/ 10.1109/ICQR.2011.6031611
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Institution: Universiti Teknologi Malaysia
id my.utm.45555
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spelling my.utm.455552017-09-20T08:06:02Z http://eprints.utm.my/id/eprint/45555/ An eigenvalue control charting for process variability monitoring Noor, A. M. Djauhari, Maman Abdurachman This paper proposes a control charting of each eigenvalue of sample covariance matrix to monitor the shift in multivariate process variability. Its performance will be compared with sample generalized variance chart, the most widely used control charting in practice. A case study using a real industrial problem shows that both charts are complementary. They might give different signal. 2011 Conference or Workshop Item PeerReviewed Noor, A. M. and Djauhari, Maman Abdurachman (2011) An eigenvalue control charting for process variability monitoring. In: 2010 IEEE International Conference On Quality And Reliability (ICQR 2011). http://dx.doi.org/ 10.1109/ICQR.2011.6031611
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/
description This paper proposes a control charting of each eigenvalue of sample covariance matrix to monitor the shift in multivariate process variability. Its performance will be compared with sample generalized variance chart, the most widely used control charting in practice. A case study using a real industrial problem shows that both charts are complementary. They might give different signal.
format Conference or Workshop Item
author Noor, A. M.
Djauhari, Maman Abdurachman
spellingShingle Noor, A. M.
Djauhari, Maman Abdurachman
An eigenvalue control charting for process variability monitoring
author_facet Noor, A. M.
Djauhari, Maman Abdurachman
author_sort Noor, A. M.
title An eigenvalue control charting for process variability monitoring
title_short An eigenvalue control charting for process variability monitoring
title_full An eigenvalue control charting for process variability monitoring
title_fullStr An eigenvalue control charting for process variability monitoring
title_full_unstemmed An eigenvalue control charting for process variability monitoring
title_sort eigenvalue control charting for process variability monitoring
publishDate 2011
url http://eprints.utm.my/id/eprint/45555/
http://dx.doi.org/ 10.1109/ICQR.2011.6031611
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