A genetic algorithm for facility layout problems of different manufacturing environments

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 (s...

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Published in:Computers & industrial engineering 2004-11, Vol.47 (2), p.233-246
Main Author: El-Baz, M. Adel
Format: Article
Language:English
Subjects:
Combinatorial optimization
Combinatorics
Facilities planning
Facility layout
Genetic algorithms
Manufacturing
Material flow
Optimization
Production planning
Studies
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description 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.
doi_str_mv 10.1016/j.cie.2004.07.001
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source Elsevier:Jisc Collections:Elsevier Read and Publish Agreement 2022-2024:Freedom Collection (Reading list)
subjects Combinatorial optimization
Combinatorics
Facilities planning
Facility layout
Genetic algorithms
Manufacturing
Material flow
Optimization
Production planning
Studies
title A genetic algorithm for facility layout problems of different manufacturing environments
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