Change point detection with robust control chart.

Monitoring a process over time using a control chart allows quick detection of unusual states. In phase I, some historical process data, assumed to come from an in-control process, are used to construct the control limits. In Phase II, the process is monitored for an ongoing basis using control limi...

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Main Authors: Ng, Kooi Huat, Midi, Habshah
Format: Article
Language:English
English
Published: Hindawi Publishing Corporation 2011
Online Access:http://psasir.upm.edu.my/id/eprint/24975/1/Change%20point%20detection%20with%20robust%20control%20chart.pdf
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author Ng, Kooi Huat
Midi, Habshah
author_facet Ng, Kooi Huat
Midi, Habshah
author_sort Ng, Kooi Huat
collection UPM
description Monitoring a process over time using a control chart allows quick detection of unusual states. In phase I, some historical process data, assumed to come from an in-control process, are used to construct the control limits. In Phase II, the process is monitored for an ongoing basis using control limits from Phase I. In Phase II, observations falling outside the control limits or unusual patterns of observations signal that the process has shifted from in-control process settings. Such signals trigger a search for assignable cause and, if the cause is found, corrective action will be implemented to prevent its recurrence. The purpose of this paper is to introduce a new methodology appropriate for constructing a robust control chart when a nonnormal or a contaminated data that may arise in phase I state. Through extensive Monte Carlo simulations, we examine the behaviors and performances of the proposed MM robust control chart when there is a process shift in mean.
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spelling upm.eprints-249752015-12-10T03:37:24Z http://psasir.upm.edu.my/id/eprint/24975/ Change point detection with robust control chart. Ng, Kooi Huat Midi, Habshah Monitoring a process over time using a control chart allows quick detection of unusual states. In phase I, some historical process data, assumed to come from an in-control process, are used to construct the control limits. In Phase II, the process is monitored for an ongoing basis using control limits from Phase I. In Phase II, observations falling outside the control limits or unusual patterns of observations signal that the process has shifted from in-control process settings. Such signals trigger a search for assignable cause and, if the cause is found, corrective action will be implemented to prevent its recurrence. The purpose of this paper is to introduce a new methodology appropriate for constructing a robust control chart when a nonnormal or a contaminated data that may arise in phase I state. Through extensive Monte Carlo simulations, we examine the behaviors and performances of the proposed MM robust control chart when there is a process shift in mean. Hindawi Publishing Corporation 2011 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/24975/1/Change%20point%20detection%20with%20robust%20control%20chart.pdf Ng, Kooi Huat and Midi, Habshah (2011) Change point detection with robust control chart. Mathematical Problems in Engineering, 2011. pp. 1-20. ISSN 1024-123X http://www.hindawi.com/journals/mpe 10.1155/2011/275686 English
spellingShingle Ng, Kooi Huat
Midi, Habshah
Change point detection with robust control chart.
title Change point detection with robust control chart.
title_full Change point detection with robust control chart.
title_fullStr Change point detection with robust control chart.
title_full_unstemmed Change point detection with robust control chart.
title_short Change point detection with robust control chart.
title_sort change point detection with robust control chart
url http://psasir.upm.edu.my/id/eprint/24975/1/Change%20point%20detection%20with%20robust%20control%20chart.pdf
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