Multivariate charting techniques: a review and a line-column approach
Article first published online: 7 AUG 2009
Copyright © 2009 John Wiley & Sons, Ltd.
Quality and Reliability Engineering International
Volume 26, Issue 5, pages 443–451, July 2010
How to Cite
Butte, V. K. and Tang, L. C. (2010), Multivariate charting techniques: a review and a line-column approach. Qual. Reliab. Engng. Int., 26: 443–451. doi: 10.1002/qre.1064
- Issue published online: 22 JUL 2010
- Article first published online: 7 AUG 2009
- multivariate SPC;
- graphical representation;
- Hoteling's T2 control chart;
- line-column charts
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 out-of-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.