New Single Variables Control Charts Based On The Double Ewma Statistics

In Statistical Process Control (SPC) monitoring situations, there is a tendency for both the process mean and process variability to shift simultaneously. Traditionally, two separate control charts, each for the mean and variance are used concurrently to monitor the process mean and process variance...

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Main Author:	Teh, Sin Yin
Format:	Thesis
Language:	English
Published:	2012
Subjects:	HD28-70 Management Industrial Management
Online Access:	http://eprints.usm.my/46264/1/TEH%20SIN%20YIN%20PhD%20Thesis24.pdf
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id	my-usm-ep.46264
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spelling	my-usm-ep.462642020-02-19T04:13:58Z New Single Variables Control Charts Based On The Double Ewma Statistics 2012-02 Teh, Sin Yin HD28-70 Management. Industrial Management In Statistical Process Control (SPC) monitoring situations, there is a tendency for both the process mean and process variability to shift simultaneously. Traditionally, two separate control charts, each for the mean and variance are used concurrently to monitor the process mean and process variance. However, in many real life process monitoring situations, a simultaneous control of the process mean and process variance is necessary. This has motivated us to develop single DEWMA (called Double Exponentially Weighted Moving Average) charts which are capable of monitoring simultaneous shifts in both the process mean and process variance, when the underlying distribution of the process is normal. The DEWMA statistics are based on the approach of performing exponential smoothing twice on the original statistics of the underlying process. The objective of this study is to propose three single DEWMA charts, namely the DEWMA-Max (called the DEWMA maximum), Max-DEWMA (called the maximum DEWMA) and SS-DEWMA (called the sum of squares of DEWMA) charts. 2012-02 Thesis http://eprints.usm.my/46264/ http://eprints.usm.my/46264/1/TEH%20SIN%20YIN%20PhD%20Thesis24.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Pengurusan
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	HD28-70 Management Industrial Management
spellingShingle	HD28-70 Management Industrial Management Teh, Sin Yin New Single Variables Control Charts Based On The Double Ewma Statistics
description	In Statistical Process Control (SPC) monitoring situations, there is a tendency for both the process mean and process variability to shift simultaneously. Traditionally, two separate control charts, each for the mean and variance are used concurrently to monitor the process mean and process variance. However, in many real life process monitoring situations, a simultaneous control of the process mean and process variance is necessary. This has motivated us to develop single DEWMA (called Double Exponentially Weighted Moving Average) charts which are capable of monitoring simultaneous shifts in both the process mean and process variance, when the underlying distribution of the process is normal. The DEWMA statistics are based on the approach of performing exponential smoothing twice on the original statistics of the underlying process. The objective of this study is to propose three single DEWMA charts, namely the DEWMA-Max (called the DEWMA maximum), Max-DEWMA (called the maximum DEWMA) and SS-DEWMA (called the sum of squares of DEWMA) charts.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Teh, Sin Yin
author_facet	Teh, Sin Yin
author_sort	Teh, Sin Yin
title	New Single Variables Control Charts Based On The Double Ewma Statistics
title_short	New Single Variables Control Charts Based On The Double Ewma Statistics
title_full	New Single Variables Control Charts Based On The Double Ewma Statistics
title_fullStr	New Single Variables Control Charts Based On The Double Ewma Statistics
title_full_unstemmed	New Single Variables Control Charts Based On The Double Ewma Statistics
title_sort	new single variables control charts based on the double ewma statistics
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Pengurusan
publishDate	2012
url	http://eprints.usm.my/46264/1/TEH%20SIN%20YIN%20PhD%20Thesis24.pdf
_version_	1747821639970586624

New Single Variables Control Charts Based On The Double Ewma Statistics

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