Persistent Link:
http://hdl.handle.net/10150/278221
Title:
A comparison of scheduling philosophies for cellular manufacturing
Author:
Iyer, Anand, 1968-
Issue Date:
1992
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 thesis compares three approaches for assigning workers and scheduling the flow of jobs in a Group Technology (GT) cell. The performance measure considered is the throughput time of jobs. The performance of the three strategies is analyzed by varying the following factors: (1) The ratio of Batch processing time to setup time. (2) Utilization. (3) The number of operators assigned to the cell. The scheduling strategies considered are Individual Machine Loading, Cell Dedication and Worker Batch Assignment. Analytical queueing models as well as computer simulations are used to compare the performance of the scheduling strategies. The dedicated cells perform best with large batch sizes and moderate workloads. The Worker Batch Assignment strategy does as well as traditional batch handling techniques with respect to the throughput time measure. This may be important since this kind of job assignment strategy has the advantage of augmenting quality (due to direct accountability) and enhancing morale without adversely impacting throughput times.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Engineering, Industrial.; Operations Research.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College
Degree Grantor:
University of Arizona
Advisor:
Askin, R. G.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleA comparison of scheduling philosophies for cellular manufacturingen_US
dc.creatorIyer, Anand, 1968-en_US
dc.contributor.authorIyer, Anand, 1968-en_US
dc.date.issued1992en_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 thesis compares three approaches for assigning workers and scheduling the flow of jobs in a Group Technology (GT) cell. The performance measure considered is the throughput time of jobs. The performance of the three strategies is analyzed by varying the following factors: (1) The ratio of Batch processing time to setup time. (2) Utilization. (3) The number of operators assigned to the cell. The scheduling strategies considered are Individual Machine Loading, Cell Dedication and Worker Batch Assignment. Analytical queueing models as well as computer simulations are used to compare the performance of the scheduling strategies. The dedicated cells perform best with large batch sizes and moderate workloads. The Worker Batch Assignment strategy does as well as traditional batch handling techniques with respect to the throughput time measure. This may be important since this kind of job assignment strategy has the advantage of augmenting quality (due to direct accountability) and enhancing morale without adversely impacting throughput times.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectEngineering, Industrial.en_US
dc.subjectOperations Research.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorAskin, R. G.en_US
dc.identifier.proquest1350830en_US
dc.identifier.bibrecord.b25529092en_US
All Items in UA Campus Repository are protected by copyright, with all rights reserved, unless otherwise indicated.