多级冷链物流网络分析与优化

发布时间：2018-07-10 07:07

本文选题：多级冷链 + 遗传算法　；参考：《武汉理工大学》2014年硕士论文

【摘要】：近年来，随着人们生活水平不断提高，冷链产品越来越受到人们的青睐，这在一定程度上加速了冷链物流的发展，但是我国冷链物流起步较晚，较其他发达国家仍有很大差距。我国冷链物流运行机制不健全、物流基础设施设备落后、人员专业水平参差不齐等一系列问题阻碍着其发展，导致冷链物流成本高、资源利用率低，所以构建一个和谐的能良好运转的冷链物流网络，运用相关技术进行冷链物流网络的分析和优化，具有一定的现实意义。本文针对的是多生产地多物流中心多客户组成的多级冷链物流网络系统，根据湖北省实际案例，解决了基于遗传算法的多级冷链物流网络各节点选择指派关系的布局优化问题。首先本文在阅读大量文献的基础上，概括了冷链物流网络相关基础知识、利用自组织理论对系统进行分析，总结了国内外对冷链物流网络的研究现状，并确定了研究思路和研究内容。其次在阐述了物流中心选址的相关理论知识后，结合湖北省实际情况，选择出7个备选物流中心地址，以成本最小化为目的建立数学模型，利用遗传算法对7个备选方案进行选址，最终确定武汉白沙洲农副产品大市场、汉口北四季美农贸城、孝感南大市场和随州市长佳冷链物流园的总费用较低，是建立冷链物流中心的较优地址，具有较好的社会和经济效益。最后在对遗传算法的概念、特点、基本思想和求解步骤分析总结的基础上，针对湖北省冷链物流网络布局建立数学模型，利用遗传算法，结合MATLAB遗传算法工具箱编程求解，得出多级冷链物流网络各节点的指派关系。
[Abstract]:In recent years, with the improvement of people's living standard, cold chain products are more and more popular, which accelerates the development of cold chain logistics to a certain extent, but the cold chain logistics in our country starts late and still has a big gap compared with other developed countries. A series of problems, such as imperfect operation mechanism of cold chain logistics, backward equipment of logistics infrastructure and uneven professional level of personnel, hinder its development, resulting in high cost of cold chain logistics and low utilization rate of resources. Therefore, it is of practical significance to construct a harmonious cold-chain logistics network and analyze and optimize the cold-chain logistics network by using relevant technologies. This paper aims at the multi-level cold chain logistics network system which is composed of multi-production places, multi-logistics centers and multi-customers. According to the actual case of Hubei Province, the problem of layout optimization of the selection and assignment relationship between nodes of multi-level cold chain logistics network based on genetic algorithm is solved. First of all, based on reading a lot of literature, this paper generalizes the basic knowledge of cold chain logistics network, analyzes the system by using self-organization theory, and summarizes the research status of cold chain logistics network at home and abroad. And determined the research ideas and research content. Secondly, after expounding the relevant theoretical knowledge of logistics center location, combined with the actual situation in Hubei Province, seven alternative logistics center addresses are selected, and the mathematical model is established for the purpose of minimizing the cost. By using genetic algorithm to select the location of seven alternative schemes, the total cost of Wuhan Baishazhou agricultural and sideline product market, Hankou North Seasons American Agriculture and Trade City, Xiaogan Nanda Market and Changjia Cold chain Logistics Park of Suizhou City is determined. Cold chain logistics center is the best location, with good social and economic benefits. Finally, based on the analysis and summary of the concept, characteristics, basic ideas and solving steps of genetic algorithm, the mathematical model of cold chain logistics network layout in Hubei Province is established, and the genetic algorithm is used to solve the problem with MATLAB genetic algorithm toolbox. The assignment relationship of each node in multistage cold chain logistics network is obtained.
【学位授予单位】：武汉理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F259.2;TP18

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