Adaptive Control Charts For Monitoring The Univariate And Multivariate Coefficient Of Variation

The first objective of this research is to propose a univariate adaptive CV chart using the variable sample size and sampling interval (VSSI) approach, called the VSSI CV chart, to monitor the process CV. The VSSI CV chart will be optimally designed, where two parameters, namely the sample size and...

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Main Author:	Khaw, Khai Wah
Format:	Thesis
Language:	English
Published:	2017
Subjects:	QA1 Mathematics (General)
Online Access:	http://eprints.usm.my/47524/1/KHAW%20KHAI%20WAH.pdf%20cut.pdf
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id	my-usm-ep.47524
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spelling	my-usm-ep.475242020-10-22T03:03:09Z Adaptive Control Charts For Monitoring The Univariate And Multivariate Coefficient Of Variation 2017-10 Khaw, Khai Wah QA1 Mathematics (General) The first objective of this research is to propose a univariate adaptive CV chart using the variable sample size and sampling interval (VSSI) approach, called the VSSI CV chart, to monitor the process CV. The VSSI CV chart will be optimally designed, where two parameters, namely the sample size and sampling intervals are allowed to vary. In real life scenarios, there are many situations in which a simultaneous monitoring of two or more correlated quality characteristics is necessary. Erroneous conclusions will occur if quality practitioners use univariate control charts to monitor a multivariate process. The second objective of this study is to propose CV charts for monitoring the multivariate process CV (MCV) by adopting the adaptive procedures. Three new charts for monitoring the MCV, namely the variable sampling interval MCV (by varying the sampling interval), variable sample size MCV (by varying the sample size) and VSSI MCV (by varying both the sample size and sampling interval) charts are proposed to improve the performance of the existing MCV chart. All the charts proposed for monitoring the univariate and multivariate CVs are designed using the Markov chain approach. The implementation procedures and optimization designs of these proposed charts are enumerated in this xxiv thesis. 2017-10 Thesis http://eprints.usm.my/47524/ http://eprints.usm.my/47524/1/KHAW%20KHAI%20WAH.pdf%20cut.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Matematik (School of Mathematical Sciences)
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA1 Mathematics (General)
spellingShingle	QA1 Mathematics (General) Khaw, Khai Wah Adaptive Control Charts For Monitoring The Univariate And Multivariate Coefficient Of Variation
description	The first objective of this research is to propose a univariate adaptive CV chart using the variable sample size and sampling interval (VSSI) approach, called the VSSI CV chart, to monitor the process CV. The VSSI CV chart will be optimally designed, where two parameters, namely the sample size and sampling intervals are allowed to vary. In real life scenarios, there are many situations in which a simultaneous monitoring of two or more correlated quality characteristics is necessary. Erroneous conclusions will occur if quality practitioners use univariate control charts to monitor a multivariate process. The second objective of this study is to propose CV charts for monitoring the multivariate process CV (MCV) by adopting the adaptive procedures. Three new charts for monitoring the MCV, namely the variable sampling interval MCV (by varying the sampling interval), variable sample size MCV (by varying the sample size) and VSSI MCV (by varying both the sample size and sampling interval) charts are proposed to improve the performance of the existing MCV chart. All the charts proposed for monitoring the univariate and multivariate CVs are designed using the Markov chain approach. The implementation procedures and optimization designs of these proposed charts are enumerated in this xxiv thesis.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Khaw, Khai Wah
author_facet	Khaw, Khai Wah
author_sort	Khaw, Khai Wah
title	Adaptive Control Charts For Monitoring The Univariate And Multivariate Coefficient Of Variation
title_short	Adaptive Control Charts For Monitoring The Univariate And Multivariate Coefficient Of Variation
title_full	Adaptive Control Charts For Monitoring The Univariate And Multivariate Coefficient Of Variation
title_fullStr	Adaptive Control Charts For Monitoring The Univariate And Multivariate Coefficient Of Variation
title_full_unstemmed	Adaptive Control Charts For Monitoring The Univariate And Multivariate Coefficient Of Variation
title_sort	adaptive control charts for monitoring the univariate and multivariate coefficient of variation
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Matematik (School of Mathematical Sciences)
publishDate	2017
url	http://eprints.usm.my/47524/1/KHAW%20KHAI%20WAH.pdf%20cut.pdf
_version_	1747821795805757440

Adaptive Control Charts For Monitoring The Univariate And Multivariate Coefficient Of Variation

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