A comparison of multiple univariate and multivariate geometric moving average control charts

Persistent Link:
http://hdl.handle.net/10150/276779
Title:
A comparison of multiple univariate and multivariate geometric moving average control charts
Author:
Roberts, Gwendolyn Rose, 1963-
Issue Date:
1988
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
This study utilizes a Monte Carlo simulation to examine the performance of multivariate geometric moving average control chart schemes for controlling the mean of a multivariate normal process. The study compares the performance of the proposed method with a multivariate Shewhart chart, a multiple univariate cumulative sum (CUSUM) control chart, a multivariate CUSUM control chart and a multiple univariate geometric moving average control chart.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Quality control -- Mathematical models.; Process control -- Mathematical models.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Systems and Industrial Engineering
Degree Grantor:
University of Arizona
Advisor:
Pignatiello, Joseph J., Jr.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleA comparison of multiple univariate and multivariate geometric moving average control chartsen_US
dc.creatorRoberts, Gwendolyn Rose, 1963-en_US
dc.contributor.authorRoberts, Gwendolyn Rose, 1963-en_US
dc.date.issued1988en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThis study utilizes a Monte Carlo simulation to examine the performance of multivariate geometric moving average control chart schemes for controlling the mean of a multivariate normal process. The study compares the performance of the proposed method with a multivariate Shewhart chart, a multiple univariate cumulative sum (CUSUM) control chart, a multivariate CUSUM control chart and a multiple univariate geometric moving average control chart.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectQuality control -- Mathematical models.en_US
dc.subjectProcess control -- Mathematical models.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineSystems and Industrial Engineeringen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorPignatiello, Joseph J., Jr.en_US
dc.identifier.proquest1334309en_US
dc.identifier.oclc21355799en_US
dc.identifier.bibrecord.b17227793en_US
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