Multivariate Control Charts Based on Hybrid Novelty Scores
- Authors
- Tuerhong, Gulanbaier; Kim, Seoung Bum; Kang, Pilsung; Cho, Sungzoon
- Issue Date
- 1-1월-2014
- Publisher
- TAYLOR & FRANCIS INC
- Keywords
- Data mining; Multivariate control charts; Novelty score; Quality control
- Citation
- COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, v.43, no.1, pp.115 - 131
- Indexed
- SCIE
SCOPUS
- Journal Title
- COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
- Volume
- 43
- Number
- 1
- Start Page
- 115
- End Page
- 131
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/99568
- DOI
- 10.1080/03610918.2012.698775
- ISSN
- 0361-0918
- Abstract
- We propose a new nonparametric multivariate control chart that integrates a novelty score. The proposed control chart uses as its monitoring statistic a hybrid novelty score, calculated based on the distance to local observations as well as on the distance to the convex hull constructed by its neighbors. The control limits of the proposed control chart were established based on a bootstrap method. A rigorous simulation study was conducted to examine the properties of the proposed control chart under various scenarios and compare it with existing multivariate control charts in terms of average run length (ARL) performance. The simulation results showed that the proposed control chart outperformed both the parametric and nonparametric Hotelling's T-2 control charts, especially in nonnormal situations. Moreover, experimental results with real semiconductor data demonstrated the applicability and effectiveness of the proposed control chart. To increase the capability to detect small mean shift, we propose an exponentially weighted hybrid novelty score control chart. Simulation results indicated that exponentially weighted hybrid score charts outperformed the hybrid novelty score based control charts.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Engineering > School of Industrial and Management Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.