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Exponentially weighted control charts to monitor multivariate process variability for high dimensions

Gunaratne, Nadeera Gnan Tilshan, Abdollahian, Malihe Akhavan, Huda, Shamsul and Yearwood, John 2017, Exponentially weighted control charts to monitor multivariate process variability for high dimensions, International journal of production research, vol. 55, no. 17, pp. 4948-4962, doi: 10.1080/00207543.2016.1278081.

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Title Exponentially weighted control charts to monitor multivariate process variability for high dimensions
Author(s) Gunaratne, Nadeera Gnan Tilshan
Abdollahian, Malihe Akhavan
Huda, Shamsul
Yearwood, JohnORCID iD for Yearwood, John orcid.org/0000-0002-7562-6767
Journal name International journal of production research
Volume number 55
Issue number 17
Start page 4948
End page 4962
Total pages 15
Publisher Taylor & Francis
Place of publication Abingdon, Eng.
Publication date 2017
ISSN 0020-7543
1366-588X
Keyword(s) multivariate variability
parallel Monte Carlo simulation
exponential decay function
individual observations
MEWMS
MEWMV
Science & Technology
Technology
Engineering, Industrial
Engineering, Manufacturing
Operations Research & Management Science
Engineering
FUSION
VARIANCE
Language eng
DOI 10.1080/00207543.2016.1278081
Field of Research MD Multidisciplinary
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2017, Informa UK
Persistent URL http://hdl.handle.net/10536/DRO/DU:30093914

Document type: Journal Article
Collection: School of Information Technology
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