One-class classification-based control charts for multivariate process monitoring

Thuntee Sukchotrat, Seoung Kim and Fugee Tsung

IISE Transactions, 2010, vol. 42, issue 2, 107-120

Abstract: One-class classification problems have attracted a great deal of attention from various disciplines. In the present study, attempts are made to extend the scope of application of the one-class classification technique to Statistical Process Control (SPC) problems. New multivariate control charts that apply the effectiveness of one-class classification to improvement of Phase I and Phase II analysis in SPC are proposed. These charts use a monitoring statistic to represent the degree of being an outlier as obtained through one-class classification. The control limits of the proposed charts are established based on the empirical level of significance on the percentile, estimated by the bootstrap method. A simulation study is conducted to illustrate the limitations of current one-class classification control charts and demonstrate the effectiveness of the proposed control charts.

Date: 2010
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DOI: 10.1080/07408170903019150

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