基于B2C模式的城市末端配送网点选址双层规划研究

发布时间：2018-04-01 17:39

本文选题：B2C　切入点：电子商务　出处：《北京交通大学》2017年硕士论文

【摘要】：近年来我国电子商务蓬勃发展,带动了物流配送业务量的激增,但与此同时电子商务的进一步发展也对物流配送时效提出了更高的要求。科学合理的配送网点选址规划是物流配送网络运行高效的前提和保证,但是许多电子商务企业的末端配送网点选址出现了不合理的现象,有的是投资成本过高,也有的是远离顾客。国内外学者的研究集中在了城市配送中心的选址上,而面向城市末端配送网点的选址理论相对较少。因此,本文提出了基于B2C模式的城市末端配送网点双层规划模型与求解方法,主要内容包括四个方面:第一,本文对B2C模式下配送网点选址的特点进行了分析。首先对物流配送模式、配送网络、配送流程的特点进行了分析归纳。在此基础上,提出了 B2C模式下的配送网点选址指标、方法和步骤。第二,本文基于成本最小和服务满意度最大建立了双层规划模型。B2C电子商务的末端配送呈现小批量、多批次的特点。因此不需要很大的周转库存用地,考虑到这个因素,成本不能作为配送网点选址的唯一因素。相比之下,对于直接面对终端消费者的电子商务企业而言服务满意度显得更加重要了。本文提出了双层规划的模型,比较贴切的反应了电商配送网点选址过程中成本和服务满意度之间的博弈过程。第三,本文提出了基于线性加权的遗传算法来求解双层规划模型。配送网点选址模型是0-1整数双层规划模型,且上层规划的可行解较少。针对本文建构模型的这些特点,先对上层的所有解进行枚举,在固定每一个上层解的时候双层规划问题转化为只有一个变量的多目标规划问题。然后用遗传算法对模型进行求解,适应度函数的设计采取对上下层目标函数线性加权的方式来构建。用遗传算法求得优化解后,再通过综合分析选出最优解。第四,本文通过求解A电商公司的配送网点选址问题对模型和算法进行验证。A公司是典型的B2C电子商务企业,本文对A公司在北京北下关街道的配送网点选址进行了数据的搜集和模型求解,得出了最优选址方案,证明了本文所提模型和算法的有效性和实用性。
[Abstract]:In recent years, China's e-commerce booming, driven surge in logistics business volume, but at the same time, the further development of electronic commerce to logistics aging put forward higher requirements. The scientific and reasonable distribution network planning is the premise and guarantee efficient operation of logistics distribution network, but at the end of the distribution network many e-commerce enterprises the location of the irrational phenomenon, some investment costs are too high, but also some from customers. The domestic and foreign scholar's research focused on the location of city distribution center, and for the city distribution network terminal location theory is relatively small. Therefore, this paper proposes a B2C model of the city distribution network planning model and double end based on the solving method, which mainly includes four aspects: first, this paper analyzes the characteristics of the B2C mode of distribution network location of logistics distribution firstly. Send mode, distribution network, the characteristics of the distribution process are analyzed and summarized. Based on this, puts forward the index location under the mode of B2C distribution network, methods and steps. Second, based on the minimum cost and maximum service satisfaction, a bi level programming model of.B2C e-commerce distribution terminal has small volume, multi batch. Therefore, don't need a large inventory of land, taking into account the factors, the only factor cost not as location distribution outlets. In contrast, for e-commerce enterprises to directly face the terminal consumer service satisfaction is more important. This paper proposes a bi level programming model, more appropriate response to the game process between cost and service the satisfaction of electric distribution outlets siting process. Third, this paper brings forward a bilevel programming model of genetic algorithm based on weighted linear distribution. Send location model is 0-1 integer bilevel programming model, and the upper planning feasible solution is less. Based on these features, this paper constructs the model, first of all the upper solution enumeration, when fixed every upper solution of the bilevel programming problem into a multi-objective programming problem with only one variable. Then using genetic algorithm to solve the model, the design of fitness function of the upper and lower linear weighted objective function to construct the optimal solution is obtained. By using genetic algorithm, and through the comprehensive analysis to select the optimal solution by solving the A. Fourth, the electricity supplier's distribution network location problem is verified on.A model and algorithm of B2C electronic commerce typical enterprise, this paper collects the data and model solution for A company is located in Beijing North Shimonoseki Street distribution outlets, and gives the optimal location scheme, this paper proves that The validity and practicability of the proposed model and algorithm.

【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F724.6;F259.2

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