摘要
跨境电子商务成长迅速,现有的配送模式却跟不上业务发展需要,海外仓的建立具有众多优势,但电子商务环境下的海外仓选址不仅受单方面的影响,因此现有的选址研究不能直接运用到跨境电子商务上。本文以中国跨境电子商务为研究对象,从市场需求等角度考虑,并从考虑建仓费用,运输方式,空间距离,时间成本等因素出发,建立海外仓选址模型。本文运用遗传算法和粒子群算法对目标函数展开求解对比并用实例得以认证。从而为跨境电子商务设定海外仓提供方法和依据。
With the rapid growth of cross-border e-commerce, the existing distribution model can not keep up with the needs of business development. The establishment of overseas warehouse has many advantages, but the overseas position under the environment of ecommerce is not only affected by the unilateral effect, so the research on the location can not be directly applied to the cross-border e-commerce. In this paper, taking China's cross-border e-commerce as the research object, considering the market demand, costs,transportation mode, space distance, time cost and other factors, establish overseas warehouse location model. This paper uses genetic algorithm and particle swarm algorithm to make a solution and comparison to the objective function, and uses examples to certify it, so as to provide methods and basis for cross-border e-commerce to set up overseas warehouse.
出处
《价值工程》
2017年第7期78-80,共3页
Value Engineering
关键词
海外仓
选址模型
遗传算法
粒子群算法
overseas warehouse
location model
genetic algorithm
particle swarm optimization