生鲜农产品同城配送复杂网络布局设计
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摘要
针对目前生鲜电商配送过程中存在订单量较少、订单相对分散的现状,文章对生鲜社区店遍地开花导致配送成本过高的问题进行分析探究。使用复杂网络中的社区搜索算法结合改进遗传算法,对整个配送网络进行两个阶段的分层布局设计:第一阶段考虑社区之间的物流联系,将其作为综合评价指标对末端节点的配送范围进行划分;第二阶段考虑配送成本,在末端节点位置确定的情况下,对整个配送网络进行以成本导向的多中心共同配送优化。仿真实验表明,建立的模型结果具有较好的收敛性和可行性。
In view of the current situation of small order quantity and relatively scattered orders in the process of fresh product e-commerce distribution, this paper analyzes the problem of high distribution cost caused by the blooming of fresh-product community stores. The paper uses the community search algorithm combined with the improved genetic algorithm to design the hierarchical layout of the whole distribution network in two stages: The first stage considers the logistics link between communities,which is taken as a comprehensive evaluation index to divide the distribution range of end nodes; The second stage considers the distribution cost, with the location of the terminal node determined, carrying out the cost-oriented multi-center co-distribution optimization for the entire distribution network. Simulation results show that the proposed model has preferable convergence and feasibility.
In view of the current situation of small order quantity and relatively scattered orders in the process of fresh product e-commerce distribution, this paper analyzes the problem of high distribution cost caused by the blooming of fresh-product community stores. The paper uses the community search algorithm combined with the improved genetic algorithm to design the hierarchical layout of the whole distribution network in two stages: The first stage considers the logistics link between communities,which is taken as a comprehensive evaluation index to divide the distribution range of end nodes; The second stage considers the distribution cost, with the location of the terminal node determined, carrying out the cost-oriented multi-center co-distribution optimization for the entire distribution network. Simulation results show that the proposed model has preferable convergence and feasibility.
引文
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[2]Govindan K,Jafarian A,Khodaverdi R,et al.Two-echelon Multiple-vehicle Location-outing Problem With Time Windows for Optimization of Sustainable Supply Chain Network of Perishable Food[J].International Journal of Production Economics,2014,(152).
[3]Drezner Z,Scott C H.Location of a Distribution Center for a Perishable Product[J].Mathematical Methods of Operations Research,2013,78(3).
[3]Yi Z,Chao G,Guoliang Q.Ant Colony Optimization Algorithm for Distribution Center Location[J].Bulletin of Science and Technology,2015,(7).
[4]Li J F,Peng J.Task Scheduling Algorithm Based on Improved Genetic Algorithm in Cloud Computing Environment[J].Jisuanji Yingyong/Journal of Computer Applications,2011,31(1).
[5]Naccache S,Montreuil B.Optimizing Consumer Order Delivery Consolidation in Drop-Ship Based B2C Distribution[J].IFAC-PapersOnLine,2015,48(3).
[6]Van Duin J H R,De Goffau W,Wiegmans B,et al.Improving Home Delivery Efficiency by Using Principles of Address Intelligence for B2C Deliveries[J].Transportation Research Procedia,2016,(12).
[7]肖建华,王飞,白焕新等.基于非等覆盖半径的生鲜农产品配送中心选址[J].系统工程学报,2015,30(3).
[8]张金隆,杜小芳,张思华.农产品物流配送系统结构研究[J].中国管理科学,2003,11(z1).
[9]陈镜羽,黄辉等.我国生鲜农产品电子商务冷链物流现状与发展研究[J].科技管理研究,2015,(6).
[10]王珊珊.生鲜电商运作模式的研究--以沱沱工社为例[J].中国管理信息化,2016,19(13).
[11]杨从平,郑世珏,党永杰等.基于配送时效和连接成本的快递网络优化[J].系统工程理论与实践,2016,(8).
[12]汪旭晖,张其林.基于线上线下融合的农产品流通模式研究--农产品O2O框架及趋势[J].北京工商大学学报(社会科学版),2014,29(3).
[13]种鹏云,帅斌.基于复杂网络的危险品运输网络抗毁性测度分析[J].中南大学学校(自然科学版),2014,(5).
[14]黄发良,肖南峰.用于网络重叠社区发现的粗糙谱聚类算法[J].小型微型计算机系统,2012,33(2).