One-class classification-based control charts for multivariate process monitoring
- Authors
- Sukchotrat, Thuntee; Kim, Seoung Bum; Tsung, Fugee
- Issue Date
- 2010
- Publisher
- TAYLOR & FRANCIS INC
- Keywords
- Data mining; Hotelling' s T-2; multivariate process; one-class classification method; statistical process control
- Citation
- IIE TRANSACTIONS, v.42, no.2, pp.107 - 120
- Indexed
- SCIE
SCOPUS
- Journal Title
- IIE TRANSACTIONS
- Volume
- 42
- Number
- 2
- Start Page
- 107
- End Page
- 120
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/118668
- DOI
- 10.1080/07408170903019150
- ISSN
- 0740-817X
- 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.
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Collections - College of Engineering > School of Industrial and Management Engineering > 1. Journal Articles
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