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Permanent link (DOI): https://doi.org/10.7939/R3J42Z

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Optimization of industrial shop scheduling using simulation and fuzzy logic Open Access

Descriptions

Other title
Subject/Keyword
Simulation
Industrial construction
Operations research
Pareto-optimality
Fuzzy set theory
Multi-criteria scheduling
Priority rules
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Rokni, Sima
Supervisor and department
Fayek, Aminah Robinson ( Civil and Environmental Engineering)
Examining committee member and department
Fayek, Aminah Robinson ( Civil and Environmental Engineering)
Mohamed, Yasser (Civil and Environmental Engineering)
Doucette, John (Mechanical Engineering)
Department
Department of Civil and Environmental Engineering
Specialization

Date accepted
2010-01-28T16:37:47Z
Graduation date
2010-06
Degree
Master of Science
Degree level
Master's
Abstract
The percentage of shop fabrication, including pipe spool fabrication, has been increasing on industrial construction projects during the past years. Industrial fabrication has a great impact on construction projects due to the fact that the productivity is higher in a controlled environment than in the field, and therefore time and cost of construction projects are reduced by making use of industrial fabrication. Effective planning and scheduling of the industrial fabrication processes is important for the success of construction projects. This thesis focuses on developing a new framework for optimizing shop scheduling, particularly pipe spool fabrication shop scheduling. The proposed framework makes it possible to capture uncertainty of the pipe spool fabrication shop while accounting for linguistic vagueness of the decision makers’ preferences using simulation modeling and fuzzy set theory. The implementation of the proposed framework is discussed using a real case study of a pipe spool fabrication shop. In this thesis, first, a simulation based scheduling framework is presented based on the integration of relational database management system, product modeling, process modeling, and heuristic approaches. Next, a framework for optimization of the industrial shop scheduling with respect to multiple criteria is proposed. Fuzzy set theory is used to linguistically assess different levels of satisfaction for the selected criteria. Additionally, an executable scheduling toolkit is introduced as a decision support system for pipe spool fabrication shop.
Language
English
DOI
doi:10.7939/R3J42Z
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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