Please use this identifier to cite or link to this item: https://doi.org/10.1002/qre.1064
Title: Multivariate charting techniques: A review and a line-column approach
Authors: Butte, V.K.
Tang, L.C. 
Keywords: Graphical representation
Hoteling's T2 control chart
Line-column charts
MCUSUM
MEWMA
Multivariate SPC
Issue Date: Jul-2010
Citation: Butte, 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
Abstract: The 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.
Source Title: Quality and Reliability Engineering International
URI: http://scholarbank.nus.edu.sg/handle/10635/87094
ISSN: 07488017
DOI: 10.1002/qre.1064
Appears in Collections:Staff Publications

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