Mixed-Model Flow Production Scheduling Method Based on Multi-Agent and Hybrid Genetic Algorithm

Abstract:

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To solve the dynamic and complex problem of production scheduling, depending on the introduction between multi-agent and hybrid genetic algorithm in mixed-model flow production scheduling, this paper proposed a mixed-model flow production scheduling method based on multi-agent and hybrid genetic algorithm. On the basis of this model, the mixed-model flow production scheduling procedure and strategy based on multi-agent and hybrid genetic algorithm were established. Finally, mixed-model flow production scheduling simulation system based on multi-agent and hybrid genetic algorithm was demonstrated and validated by QUEST software. It has shown the proposed method can improve the benefit of production scheduling, and provide a support for adapting to complex and dynamic production scheduling in mixed-model flow production.

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Periodical:

Edited by:

Helen Zhang and David Jin

Pages:

399-402

DOI:

10.4028/www.scientific.net/AMM.63-64.399

Citation:

L. H. Lai "Mixed-Model Flow Production Scheduling Method Based on Multi-Agent and Hybrid Genetic Algorithm", Applied Mechanics and Materials, Vols. 63-64, pp. 399-402, 2011

Online since:

June 2011

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$35.00

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