电子商务物流配送中心选址研究

发布时间：2018-03-03 23:04

本文选题：电子商务　切入点：物流配送中心　出处：《天津科技大学》2017年硕士论文　论文类型：学位论文

【摘要】：物流配送,作为物流运作中重要的一项功能,是物流与客户连接最为紧密的环节,同时也是电子商务物流的末端环节。在电子商务全面深入的今天,随着“门到门”的物流服务模式的出现,客户对于网上购物的需求已经不仅仅满足于方便、快捷,对配送服务有了更加及时、准确的要求。这就要求配送活动的发展要紧跟电子商务发展的脚步,以求提高电子商务的运作效率和客户满意度。在物流配送体系中,配送中心已逐渐成为现代物流的标志,并对整个物流配送体系的费用、效率和发展等产生影响。由此可见,能否科学地对电子商务配送中心进行选址对电子商务企业的成败有重要意义。本文对配送中心选址问题进行了较为全面的介绍,分析了电子商务有关理论。并从电子商务环境下的物流配送特点出发,在建立物流配送中心选址模型时将经济性和配送时效性着重考虑,并将二者相结合,建立了集物流配送中心选址和配送路径优化两方面的双层规划模型。其中,物流中心选址对于企业来说,是一个长远性的问题,它的决策对企业未来的发展方向有深远影响,因此作为上层决策问题,而配送路径的变更则相对灵活,因此作为下层决策问题。物流中心选址问题追求的是从上游到下游的运营总成本最小,车辆路径优化选择的目标函数是所有配送车辆的总时间最小。对于双层规划模型的求解,本文进行了相关知识的研究并决定采用粒子群优化算法进行求解。针对粒子群优化算法,本文首先对基本粒子群优化算法进行了详细说明,分析介绍了几种改进的粒子群优化算法,决定采用带惯性权重的粒子群优化算法。并阐述了粒子群算法的早熟收敛及跳出,最终确定了求解双层规划模型的具体步骤。最后结合实际案例,采用MATLAB软件进行编程求解,对模型和算法的可行性进行具体验证。
[Abstract]:Logistics distribution, as an important function in logistics operation, is the most close link between logistics and customers, but also the end link of e-commerce logistics. With the appearance of "door-to-door" logistics service mode, customers' demand for online shopping has not only been satisfied with convenience and speed, but also more timely for distribution services. Accurate requirements. This requires the development of distribution activities to keep up with the pace of e-commerce development, in order to improve the operational efficiency of e-commerce and customer satisfaction. In the logistics distribution system, distribution center has gradually become the symbol of modern logistics. And has an impact on the cost, efficiency and development of the entire logistics distribution system. It is of great significance for the success or failure of E-commerce enterprises to choose the location of E-commerce distribution center scientifically. This paper gives a comprehensive introduction to the problem of location of distribution center. This paper analyzes the relevant theories of electronic commerce, and from the characteristics of logistics distribution under the environment of electronic commerce, the economy and timeliness of distribution are taken into account when establishing the location model of logistics distribution center, and the two models are combined together. A bilevel programming model of logistics distribution center location and distribution path optimization is established, in which logistics center location is a long-term problem for enterprises, and its decision has a profound impact on the future development direction of enterprises. Therefore, as an upper decision problem, the change of distribution path is relatively flexible, therefore, as a lower level decision problem, the logistics center location problem pursues the minimum total operating cost from upstream to downstream. The objective function of vehicle path optimization selection is the minimum total time of all distribution vehicles. This paper studies the relevant knowledge and decides to use particle swarm optimization algorithm to solve the problem. For particle swarm optimization algorithm, this paper first describes the basic particle swarm optimization algorithm in detail. In this paper, several improved particle swarm optimization algorithms are analyzed and introduced, and the particle swarm optimization algorithm with inertia weight is adopted. The premature convergence and jump out of the particle swarm optimization algorithm are expounded. Finally, the concrete steps of solving the bilevel programming model are determined. Finally, the feasibility of the model and algorithm is verified by using MATLAB software.
【学位授予单位】：天津科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F724.6;F252

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