Supply Chain Network Optimization Based on Genetic Algorithm

Abstract:

In an increasingly competitive global market environment, supply chain competition has become the key content of industry competition in the new period. At present, the real competition is not the competition between enterprises and enterprises, but competition between supply chain and supply chain. While the key of the supply chain competition is the competition of logistics network, an efficient and suitable for logistics network can not only help enterprises to seize market share, but also can greatly reduce logistics costs to improve enterprise core competitiveness. To solve the problems existing in the supply chain network expansion, I use genetic algorithms to make model optimization.

• Periodical: Applied Mechanics and Materials (Volumes 744-746)
• Pages: 1906-1909
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.744-746.1906
• Online since: March 2015
• Authors: Xue Mei Hu*, Yong Bo Lv
• Keywords: Genetic Algorithm, Network Optimization, Supply Chain

References

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