The Improved Genetic Algorithm for Balancing Mixed-Model Assembly Line

Abstract:

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Mixed-model assembly lines are become more and more important by producing different models of the same product on an assembly line. Aiming at the existing mixed-model assembly line balancing problem, first, two important objective functions for minimizing cycle time and workload variance were provided, and mathematical models were established. Furthermore, in order to obtain the optimal or near optimal solutions, an improved genetic algorithm was proposed with combined precedence graph. Finally, the experiment results illustrate the feasibility and validity of the proposed improved genetic algorithm.

Info:

Periodical:

Edited by:

Quanjie Gao

Pages:

603-608

DOI:

10.4028/www.scientific.net/AMM.127.603

Citation:

Q. H. Tang and Y. L. Liang, "The Improved Genetic Algorithm for Balancing Mixed-Model Assembly Line", Applied Mechanics and Materials, Vol. 127, pp. 603-608, 2012

Online since:

October 2011

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Price:

$35.00

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