Robust individual control chart for change point model

Control charts are used to monitor for changes in a process by distinguishing between common and special causes of variability. When a control chart signals, process engineers must initiate a search for the special cause of the process disturbance. Identifying which combination of the many process...

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Main Authors: Ng, Kooi Huat, Midi, Habshah
Format: Article
Language:English
English
Published: World Scientific and Engineering Academy and Society 2010
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/16590/
http://psasir.upm.edu.my/id/eprint/16590/1/Robust%20individual%20control%20chart%20for%20change%20point%20model.pdf
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author Ng, Kooi Huat
Midi, Habshah
author_facet Ng, Kooi Huat
Midi, Habshah
author_sort Ng, Kooi Huat
building UPM Institutional Repository
collection Online Access
description Control charts are used to monitor for changes in a process by distinguishing between common and special causes of variability. When a control chart signals, process engineers must initiate a search for the special cause of the process disturbance. Identifying which combination of the many process variables is responsible for a change in the process allows engineers to improve quality by preventing or avoiding changes in those variables which lead to poor quality. We examine a process-monitoring tool that not only provides speedy detection regardless of the magnitude of the process shift, but also provides useful change point statistics. Robustness against assignable causes of variation appears to be important and a likelihood ratio method is used to develop test statistics for step change shifts.The performance of the proposed methodology is demonstrated with numerical example and simulation studies.
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spelling upm-165902015-12-16T08:28:11Z http://psasir.upm.edu.my/id/eprint/16590/ Robust individual control chart for change point model Ng, Kooi Huat Midi, Habshah Control charts are used to monitor for changes in a process by distinguishing between common and special causes of variability. When a control chart signals, process engineers must initiate a search for the special cause of the process disturbance. Identifying which combination of the many process variables is responsible for a change in the process allows engineers to improve quality by preventing or avoiding changes in those variables which lead to poor quality. We examine a process-monitoring tool that not only provides speedy detection regardless of the magnitude of the process shift, but also provides useful change point statistics. Robustness against assignable causes of variation appears to be important and a likelihood ratio method is used to develop test statistics for step change shifts.The performance of the proposed methodology is demonstrated with numerical example and simulation studies. World Scientific and Engineering Academy and Society 2010 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/16590/1/Robust%20individual%20control%20chart%20for%20change%20point%20model.pdf Ng, Kooi Huat and Midi, Habshah (2010) Robust individual control chart for change point model. WSEAS Transactions on Mathematics, 9 (7). pp. 499-508. ISSN 1109-2769 Process control — Statistical methods Outliers Mathematical statistics English
spellingShingle Process control — Statistical methods
Outliers
Mathematical statistics
Ng, Kooi Huat
Midi, Habshah
Robust individual control chart for change point model
title Robust individual control chart for change point model
title_full Robust individual control chart for change point model
title_fullStr Robust individual control chart for change point model
title_full_unstemmed Robust individual control chart for change point model
title_short Robust individual control chart for change point model
title_sort robust individual control chart for change point model
topic Process control — Statistical methods
Outliers
Mathematical statistics
url http://psasir.upm.edu.my/id/eprint/16590/
http://psasir.upm.edu.my/id/eprint/16590/1/Robust%20individual%20control%20chart%20for%20change%20point%20model.pdf