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A genetic algorithm for facility layout problems of different manufacturing environments
Faculty
Science
Year:
2004
Type of Publication:
Article
Pages:
233-246
Authors:
El-Baz, MA
DOI:
10.1016/j.cie.2004.07.001
Journal:
COMPUTERS \& INDUSTRIAL ENGINEERING PERGAMON-ELSEVIER SCIENCE LTD
Volume:
47
Research Area:
Computer Science; Engineering
ISSN
ISI:000224907800010
Keywords :
facility layout, genetic algorithms, combinatorial optimization, material flow
Abstract:
This paper describes a genetic algorithm (GA) to solve the problem of optimal facilities layout in manufacturing systems design so that material-handling costs are minimized. The paper considers the various material flow patterns of manufacturing environments of flow shop layout, flow-line layout (single line) with multi-products, multi-line layout, semi-circular and loop layout. The effectiveness of the GA approach is evaluated with numerical examples. The cost performance is compared with other approaches. The results show the effectiveness of the GA approach as a tool to solve problems in facilities layout. (C) 2004 Elsevier Ltd. All rights reserved.
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