The Improved Genetic Algorithm for Balancing Mixed-Model Assembly Line

Qiu Hua Tang; Yan Li Liang

doi:10.4028/www.scientific.net/AMM.127.603

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 127The Improved Genetic Algorithm for Balancing...

The Improved Genetic Algorithm for Balancing Mixed-Model Assembly Line

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volume 127)

Pages:

603-608

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.127.603

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Online since:

October 2011

Authors:

Qiu Hua Tang, Yan Li Liang

Keywords:

Combined Precedence Graph, Improved Genetic Algorithm (IGA), Mixed-Model Assembly Line

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