A Hybrid Genetic Algorithm for Production Capacity Allocation Problem with Multiple Regional Demands in Supply Chain

Zhen Wang; Lei Huang

doi:10.4028/www.scientific.net/AMR.945-949.3107

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 945-949A Hybrid Genetic Algorithm for Production Capacity...

A Hybrid Genetic Algorithm for Production Capacity Allocation Problem with Multiple Regional Demands in Supply Chain

Abstract:

Concentrating on the supplier with limited production capacity in supply chain, this paper established a mathematical model for production capacity allocation problem with consideration of multiple regional demands. The genetic algorithm is employed as solution mainframe in which a heuristics rule is developed to initiate the population and an elite pool is adopted to store those solutions with outstanding fitness values. The experimental tests show that the proposed model and algorithm are feasible and effective.

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Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

3107-3111

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.945-949.3107

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Online since:

June 2014

Authors:

Zhen Wang*, Lei Huang

Keywords:

Genetic Algorithm (GA), Multiple Regional Demands, Production Capacity Allocation, Supply Chain

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