A Multivariate Control Chart for Expected Changes over Time

Article

Schwertman, Neil C. (nschwertman@csuchico.edu); Ryan, Thomas P.; Adnan, Robiah   (2002, ASQ and Marcel Dekker, Inc.)   California State University - Chico, Chico, CA; University of Technology Malaysia, Johor, Malaysia

Quality Engineering    Vol. 15    No. 2
QICID: 18892    December 2002    pp. 275-280
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Article Abstract

[This abstract is based on the authors' abstract.] At times a system that is being monitored is not static, as when machinery wears over time as it is used. Control charts are an effective way to monitor these changes and provide early warning before extensive damage is done. A new procedure is proposed that combines the methodologies of regression control charts and multivariate control charts. An example shows this control chart can be effective in detecting even slightly larger than expected changes in monitored variables subject to naturally occurring changes over time.

Keywords

False alarm rate (FAR); Regression analysis; Multivariate control charts; Linear regression


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