基于遗传算法的供应链网络优化  

Supply Chain Network Optimization Based on Genetic Algorithms

作　　者：王凯[1] 李超[1] 刘雪梅[1] 

机构地区：[1]长安大学,陕西西安710000

出　　处：《物流工程与管理》2014年第5期129-130,共2页Logistics Engineering and Management

基　　金：浙江省哲学社会科学规划立项课题"集装箱多式联运价值增值研究"(13HQZZ006)

摘　　要：在全球化市场竞争日益激烈的环境下,供应链的竞争已经成为新时期产业竞争的关键内容。目前,真正的竞争不是企业与企业之间的竞争,而是供应链与供应链之间的竞争。而供应链竞争的关键则在于其物流网络的竞争,一个高效、适合的物流网络不仅能帮助企业抢占市场份额,而且还能大幅降低物流成本,提升企业核心竞争力。本中针对我国企业供应链网络扩张中存在的问题,利用遗传算法进行建模优化。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,improve enterprise core competitiveness. For the enterprises in our country,the problems existing in the supply chain network expansion,modeling optimization using genetic algorithms.

关 键 词：供应链 网络优化 遗传算法 

分 类 号：F274[经济管理—企业管理]