Choosing principal components for multivariate statistical process control |
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Authors: | George C Ranger Frank B Alt |
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Institution: | College of Business and Management , University of Maryland , College Park, MD, 20742 |
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Abstract: | Principal components are useful for multivariate process control. Typically, the principal component variables are often selected to summarize the variation in the process data. We provide an analysis to select the principal component variables to be included in a multivariate control chart that incorporates the unique aspects of the process control problem (rather than using traditional principal component guidelines). |
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Keywords: | chi-square chart quality control selection of variables |
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