Please use this identifier to cite or link to this item: https://doi.org/10.1002/qre.1064
DC FieldValue
dc.titleMultivariate charting techniques: A review and a line-column approach
dc.contributor.authorButte, V.K.
dc.contributor.authorTang, L.C.
dc.date.accessioned2014-10-07T10:24:11Z
dc.date.available2014-10-07T10:24:11Z
dc.date.issued2010-07
dc.identifier.citationButte, V.K., Tang, L.C. (2010-07). Multivariate charting techniques: A review and a line-column approach. Quality and Reliability Engineering International 26 (5) : 443-451. ScholarBank@NUS Repository. https://doi.org/10.1002/qre.1064
dc.identifier.issn07488017
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/87094
dc.description.abstractThe primary objective of multivariate statistical process control is to monitor the related process quality characteristics over time and identify the assignable causes affecting the process using multivariate control charts. When an outof-control signal is obtained from the chart, it is imperative to be able to detect the component variables that have gone out-of-control. In this paper we propose a new charting procedure for T2, multivariate exponentially weighted moving average and multivariate cumulative sum control charts. The proposed charts will facilitate in identification of the source of out-of-control signal and are simple, economical and easier to implement. Copyright © 2009 John Wiley & Sons, Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1002/qre.1064
dc.sourceScopus
dc.subjectGraphical representation
dc.subjectHoteling's T2 control chart
dc.subjectLine-column charts
dc.subjectMCUSUM
dc.subjectMEWMA
dc.subjectMultivariate SPC
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.doi10.1002/qre.1064
dc.description.sourcetitleQuality and Reliability Engineering International
dc.description.volume26
dc.description.issue5
dc.description.page443-451
dc.description.codenQREIE
dc.identifier.isiut000280914600005
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