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QICID: 24020
Title: Principal Alarms in Multivariate Statistical Process Control
Copyright: ASQ
Author: Gonzales, Isabel; Sanchez, Ismael
Organization:
Subject: Average run length (ARL), Control charts, T2 control chart, Hotelling's T2 statistic, Multivariate quality control, Principal components, Exponentially weighted moving average (EWMA);
Series: Journal of Quality Technology, Vol. 40, No. 1, January 2008, pp. 19-30
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Abstract: [This abstract is based on the authors' abstract.]
A methodology for the simulation of out-of-control situations using in-control data is proposed for identifying the alarms that might occur in a multivariate process. The method is based on identifying the independent factors of the variability, and then shifting these factors individually. Shifts called principal alarms are provoked by the most important factors and can be plotted, permitting visualization of the main deviations of the process. Additionally, a resampling procedure is proposed for the estimation of the average run length of a control chart using principal alarms. The methodology is illustrated with a real industrial process application.
Number of pages: 12
Price for ASQ Members: $5.00
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