Factory design layout: A combined artificial intelligence and simulation approach

Persistent Link:
http://hdl.handle.net/10150/291994
Title:
Factory design layout: A combined artificial intelligence and simulation approach
Author:
Chierotti, Marco, 1960-
Issue Date:
1991
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 proposes a methodology for factory layout synthesis that combines the symbolic and numerical approaches. The layout model is represented as a loosely packed arrangement of rectangles with sides parallel to two orthogonal directions. Solutions must satisfy a set of qualitative and quantitative constraints and must optimize material handling costs. Qualitative constraints are specified using a rule based approach. Quantitative constraints and material handling costs are incorporated into a numerical, non linear-optimization problem. Optimal solutions are generated by inserting one device at the time in all admissible locations on the floorplan. The resulting partial layouts are optimized with respect to material handling costs. Then, the best partial solution obtained so far is the starting point for the next object insertion. The process stops when all devices have been placed. To illustrate the methodology, three case studies are presented.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Engineering, Industrial.; Engineering, System Science.; Operations Research.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Electrical and Computer Engineering
Degree Grantor:
University of Arizona
Advisor:
Rozenblit, Jerzy W.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleFactory design layout: A combined artificial intelligence and simulation approachen_US
dc.creatorChierotti, Marco, 1960-en_US
dc.contributor.authorChierotti, Marco, 1960-en_US
dc.date.issued1991en_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 proposes a methodology for factory layout synthesis that combines the symbolic and numerical approaches. The layout model is represented as a loosely packed arrangement of rectangles with sides parallel to two orthogonal directions. Solutions must satisfy a set of qualitative and quantitative constraints and must optimize material handling costs. Qualitative constraints are specified using a rule based approach. Quantitative constraints and material handling costs are incorporated into a numerical, non linear-optimization problem. Optimal solutions are generated by inserting one device at the time in all admissible locations on the floorplan. The resulting partial layouts are optimized with respect to material handling costs. Then, the best partial solution obtained so far is the starting point for the next object insertion. The process stops when all devices have been placed. To illustrate the methodology, three case studies are presented.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectEngineering, Industrial.en_US
dc.subjectEngineering, System Science.en_US
dc.subjectOperations Research.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineElectrical and Computer Engineeringen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorRozenblit, Jerzy W.en_US
dc.identifier.proquest1346693en_US
dc.identifier.bibrecord.b27251846en_US
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