Robust individuals control chart for shifts in process mean and variance

Statistical process control (SPC) involves ongoing checks to ensure whether the mean or variance of the process readings has changed. When a change does occur, the control chart should locate it quickly. If the operator can also be supplied information that aids in the search for the special cause,...

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Main Authors: Ng, Kooi Huat, Midi, Habshah
Format: Conference or Workshop Item
Language:English
Published: WSEAS Press 2010
Online Access:http://psasir.upm.edu.my/id/eprint/64984/
http://psasir.upm.edu.my/id/eprint/64984/1/A%20-46.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 Statistical process control (SPC) involves ongoing checks to ensure whether the mean or variance of the process readings has changed. When a change does occur, the control chart should locate it quickly. If the operator can also be supplied information that aids in the search for the special cause, then critical off-line time can be saved. 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. A Likelihood ratio method is used to develop test statistics for step change shifts. Apart from traditional charts, robust control charts is a better alternative for a process with contaminated data as the effects of the outlying data values are eliminated. In which robustness against assignable causes of variation appears to be important. The proposed methodology is demonstrated with numerical example.
first_indexed 2025-11-15T11:21:18Z
format Conference or Workshop Item
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institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T11:21:18Z
publishDate 2010
publisher WSEAS Press
recordtype eprints
repository_type Digital Repository
spelling upm-649842018-09-03T04:15:47Z http://psasir.upm.edu.my/id/eprint/64984/ Robust individuals control chart for shifts in process mean and variance Ng, Kooi Huat Midi, Habshah Statistical process control (SPC) involves ongoing checks to ensure whether the mean or variance of the process readings has changed. When a change does occur, the control chart should locate it quickly. If the operator can also be supplied information that aids in the search for the special cause, then critical off-line time can be saved. 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. A Likelihood ratio method is used to develop test statistics for step change shifts. Apart from traditional charts, robust control charts is a better alternative for a process with contaminated data as the effects of the outlying data values are eliminated. In which robustness against assignable causes of variation appears to be important. The proposed methodology is demonstrated with numerical example. WSEAS Press 2010 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/64984/1/A%20-46.pdf Ng, Kooi Huat and Midi, Habshah (2010) Robust individuals control chart for shifts in process mean and variance. In: 9th WSEAS International Conference on Applications of Computer Engineering (ACE '10), 23-25 Mar. 2010, Penang, Malaysia. (pp. 270-275).
spellingShingle Ng, Kooi Huat
Midi, Habshah
Robust individuals control chart for shifts in process mean and variance
title Robust individuals control chart for shifts in process mean and variance
title_full Robust individuals control chart for shifts in process mean and variance
title_fullStr Robust individuals control chart for shifts in process mean and variance
title_full_unstemmed Robust individuals control chart for shifts in process mean and variance
title_short Robust individuals control chart for shifts in process mean and variance
title_sort robust individuals control chart for shifts in process mean and variance
url http://psasir.upm.edu.my/id/eprint/64984/
http://psasir.upm.edu.my/id/eprint/64984/1/A%20-46.pdf