基于遗传算法的生鲜电商正逆向物流网络构建  

Construction of Forward and Reverse Logistics Networkof Fresh Food E- commerce Enterprises Based on Genetic Algorithm

作　　者：范思远[1] 许晓兵[1] 

机构地区：[1]上海理工大学管理学院,上海200093

出　　处：《物流工程与管理》2016年第3期10-12,26,共4页Logistics Engineering and Management

摘　　要：随着互联网和电子商务的迅速发展,电子商务环境下的生鲜产品交易被赋予了更大的意义。生鲜电商可以有效的消除消费者与供应商之间的距离,使整个生鲜产品的供应链更加紧密。文中首次构建了基于生鲜电商的正逆向物流网络构建模型,并以北京市海淀区为例,利用遗传算法证明了模型的有效性。该研究为生鲜电商企业产品配送及退换货物流网络的构建提供了有力的参考。The booming development of Internet and E- business world widely has caused an enormous effect on the conduct of global business in fundamental ways. Fresh food commerce,a traditional way of providing things for people’s daily lives,has been endowed great implication under the environment of Internet and E- business. Fresh food E- commerce shrinks distances and brings about closer integration of its former supply chain. This paper proposes a forward / reverse logistics network design model for fresh food e- commerce enterprises. And a calculating case study of optimal operation in a district in Beijing,China of fresh food E- commerce enterprises is used to verify the feasibility of the model by adopting genetic algorithm（ GA）.The study provides a good reference for the design of forward and reverse logistics network.

关 键 词：生鲜电商 正逆向物流 网络构建 遗传算法 

分 类 号：F252.24[经济管理—国民经济]