Machine-Cell Grouping in Cellular Manufacturing Systems Using Non-traditional Optimisation Techniques - A Comparative Study

In this paper, the machine-cell grouping problem is considered with the objective of minimising the total moves and minimising the cell load variation. We first review the literature on machine-cell grouping involving meta-heuristics. Then we integrate the most powerful non-traditional algorithms, g...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2001-07, Vol.18 (2), p.140-147
Main Authors: Asokan, P., Prabhakaran, G., Satheesh Kumar, G.
Format: Article
Language:English
Subjects:
Cellular manufacture
Comparative studies
Computer programming
Computer simulation
Genetic algorithms
Literature reviews
Manufacturing cells
Optimization
Programming languages
Simulated annealing
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Summary:In this paper, the machine-cell grouping problem is considered with the objective of minimising the total moves and minimising the cell load variation. We first review the literature on machine-cell grouping involving meta-heuristics. Then we integrate the most powerful non-traditional algorithms, genetic algorithm (GA) and simulated annealing (SA) with the most robust computer programming language "C", for cell grouping. The computational results obtained by applying the genetic algorithm and simulated annealing are compared for their efficiency in solving the machine-cell grouping problems.
ISSN:0268-3768
1433-3015
DOI:10.1007/s001700170085