Improving the performance of the multivariate exponentially weighted moving average control chart

Improving the performance of the multivariate exponentially weighted moving average control chart

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Article ID: iaor20011443
Country: United States
Volume: 15
Issue: 3
Start Page Number: 161
End Page Number: 166
Publication Date: May 1999
Journal: Quality and Reliability Engineering International
Authors: , , ,
Keywords: control charts, process control
Abstract:

Multivariate statistical process control (SPC) procedures are useful in cases where several process variables are monitored simultaneously. A significant disadvantage of these techniques is that the time required to detect a process shift increases with the number of variables being monitored. We show how the shift detection capability of one popular multivariate SPC scheme, the multivariate analogue of the exponentially weighted moving average control chart, can be significantly improved by transforming the original process variables to a lower-dimensional subspace through the use of a U-transformation.

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