A data mining approach to improve phase I process control
- Authors
- Kang, Changwook; Sukchotrat, Thuntee; Kim, Seoung-bum
- Issue Date
- Jun-2007
- Publisher
- IIE Annual Conference and Expo 2007
- Keywords
- Classification analysis; Clustering analysis; Data mining; Multivariate control chart; Phase I analysis
- Citation
- IIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World - Conference Proceedings, pp.192 - 196
- Indexed
- OTHER
- Journal Title
- IIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World - Conference Proceedings
- Start Page
- 192
- End Page
- 196
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/44259
- Abstract
- We propose a data mining approach to improve the phase I analysis of statistical process control. We use the clustering analysis to make initial groups of the historical data, followed by the classification analysis, along with the synthetic datasets to further purify the in-control data. The simulation study shows that our proposed approach performs better than a traditional control chart technique.
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- Appears in
Collections - COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING > 1. Journal Articles
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