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Eigenstructure-based control charting to detect the shift in process variability

Due to the complexity of multivariate environment, the construction of multivariate control chart for process variability monitoring is not straightforward. This is because, in multivariate setting, understanding the behavior of process variability is not easy to interpret and analyze. For this purp...

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Main Authors: Mohd. Noor, Aishah, Djauhari, Maman Abdurachman
Format: Conference or Workshop Item
Published: 2015
Subjects:
Q Science (General)
Online Access:http://eprints.utm.my/id/eprint/59247/
http://dx.doi.org/10.1063/1.4915718
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spelling my.utm.592472021-10-11T04:31:23Z http://eprints.utm.my/id/eprint/59247/ Eigenstructure-based control charting to detect the shift in process variability Mohd. Noor, Aishah Djauhari, Maman Abdurachman Q Science (General) Due to the complexity of multivariate environment, the construction of multivariate control chart for process variability monitoring is not straightforward. This is because, in multivariate setting, understanding the behavior of process variability is not easy to interpret and analyze. For this purpose, we propose a process monitoring strategy that can be used to detect the shift in covariance structure by the size of variation in terms of the eigenvalues of a covariance matrix. The sensitivity of the propose method to the shift of variability is quite promising and therefore, a real industrial problem will be presented to illustrate its advantage. 2015 Conference or Workshop Item PeerReviewed Mohd. Noor, Aishah and Djauhari, Maman Abdurachman (2015) Eigenstructure-based control charting to detect the shift in process variability. In: International Conference on Mathematics, Engineering and Industrial Applications, ICoMEIA 2014, 28-30 May 2014, Penang Island, Malaysia. http://dx.doi.org/10.1063/1.4915718
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 Q Science (General)
spellingShingle Q Science (General)
Mohd. Noor, Aishah
Djauhari, Maman Abdurachman
Eigenstructure-based control charting to detect the shift in process variability
description Due to the complexity of multivariate environment, the construction of multivariate control chart for process variability monitoring is not straightforward. This is because, in multivariate setting, understanding the behavior of process variability is not easy to interpret and analyze. For this purpose, we propose a process monitoring strategy that can be used to detect the shift in covariance structure by the size of variation in terms of the eigenvalues of a covariance matrix. The sensitivity of the propose method to the shift of variability is quite promising and therefore, a real industrial problem will be presented to illustrate its advantage.
format Conference or Workshop Item
author Mohd. Noor, Aishah
Djauhari, Maman Abdurachman
author_facet Mohd. Noor, Aishah
Djauhari, Maman Abdurachman
author_sort Mohd. Noor, Aishah
title Eigenstructure-based control charting to detect the shift in process variability
title_short Eigenstructure-based control charting to detect the shift in process variability
title_full Eigenstructure-based control charting to detect the shift in process variability
title_fullStr Eigenstructure-based control charting to detect the shift in process variability
title_full_unstemmed Eigenstructure-based control charting to detect the shift in process variability
title_sort eigenstructure-based control charting to detect the shift in process variability
publishDate 2015
url http://eprints.utm.my/id/eprint/59247/
http://dx.doi.org/10.1063/1.4915718
_version_ 1715189648021520384
score 13.211869

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