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One-Class Classification-Based Control Charts for Monitoring Autocorrelated Multivariate Processes

Authors
Kim, Seoung BumJitpitaklert, WeerawatSukchotrat, Thuntee
Issue Date
2010
Publisher
TAYLOR & FRANCIS INC
Keywords
Autocorrelated multivariate process; Data mining algorithm; One-class classification algorithm; Statistical process control
Citation
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, v.39, no.3, pp.461 - 474
Indexed
SCIE
SCOPUS
Journal Title
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
Volume
39
Number
3
Start Page
461
End Page
474
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/118623
DOI
10.1080/03610910903480826
ISSN
0361-0918
Abstract
In recent years, statistical process control (SPC) of multivariate and autocorrelated processes has received a great deal of attention. Modern manufacturing/service systems with more advanced technology and higher production rates can generate complex processes in which consecutive observations are dependent and each variable is correlated. These processes obviously violate the assumption of the independence of each observation that underlies traditional SPC and thus deteriorate the performance of its traditional tools. The popular way to address this issue is to monitor the residualsthe difference between the actual value and the fitted valuewith the traditional SPC approach. However, this residuals-based approach requires two steps: (1) finding the residuals; and (2) monitoring the process. Also, an accurate prediction model is necessary to obtain the uncorrelated residuals. Furthermore, these residuals are not the original values of the observations and consequently may have lost some useful information about the targeted process. The main purpose of this article is to examine the feasibility of using one-class classification-based control charts to handle multivariate and autocorrelated processes. The article uses simulated data to present an analysis and comparison of one-class classification-based control charts and the traditional Hotelling's T2 chart.
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