考虑多种因素的中欧集装箱多式联运路径选择研究

发布时间：2018-04-21 22:31

本文选题：国际多式联运 + 多目标路径优化　；参考：《郑州大学》2017年硕士论文

【摘要】：如今随着全球化经济深入发展,推进区域经济的深度融合,全球经济贸易格局与投资增长格局正在酝酿深刻调整。随着“一带一路”战略的提出,我国出现了新一轮的对外开放,丝绸之路沿线城市积极的融入到丝绸之路建设中,运输作为连接“一带一路”发展的重要桥梁,在沿线国家的国际贸易中起着关键的作用。随着现代物流理论的发展,人们对货物运输的要求逐渐提高,多式联运成为丝绸之路互通有无的重要载体,同时随着全球环境的恶化,人们对低碳生的认识也渐渐融入生活的各个方面,在国际上也开始对生产排放要求日益严格。论文首先从集装箱多式联运、低碳运输、中欧集装箱贸易通道以及多目标规划综述入手,分析了国内外的相关研究现状,分析总结了当前多式联运的研究趋势,确定中欧集装箱多式联运路径选择的研究方法;其次,研究通过分析中欧集装箱多式联运通道的网络构成及现状,找出中欧集装箱多式联运通道存在的问题,再次,针对问题分析,通过集成考虑运输时间、运输费用、碳排放三方面因素,构建了中欧集装箱多式联运路径优化的多目标优化模型;并根据多式联运参与者的不同侧重点和差异化需求,确定三个目标函数的不同权重,通过加权求和将多目标合并转化为单目标问题;采用遗传算法求解,最终迭代得到模型的Pareto解。最后研究以南京到柏林的实际数据为例进行算例分析,分析表明该模型是可行有效的,能够为中欧集装箱多式联运路径优化提供较高指导性的优化方案。论文在中欧集装箱运输通道现状研究的基础上,将集装箱多式联运路径选择与中欧贸易实际情况相结合,通过以中欧集装箱多式联运组织过程中的实际需求为切入点分析各个影响因素的基本需求,以此建立综合考虑运输时间、运输费用、运输碳排放三方面因素的国际集装箱多式联运路径选择模型,同时模型求解算法计算采用遗传算法,为了提高求解的可靠性与简便性,在算法设计中融入不同多式联运参与者的差异化需求,借助Matlab编程求解,最终得到符合多式联运参与者不同偏好的多式联运运输方案。
[Abstract]:Nowadays, with the development of global economy and the deep integration of regional economy, the pattern of global economic trade and investment growth is in the process of profound adjustment. With the development of "Belt and Road" strategy, a new round of opening to the outside world has appeared in our country. Cities along the Silk Road have been actively integrated into the construction of the Silk Road. Transportation is an important bridge connecting the development of "Belt and Road". It plays a key role in the international trade of the countries along the route. With the development of modern logistics theory, people's demand for freight transportation has been raised gradually. Multimodal transport has become an important carrier of the Silk Road, and with the deterioration of the global environment, People's understanding of low carbon is also gradually integrated into all aspects of life, and increasingly stringent requirements for production emissions in the international community. Firstly, the paper starts with a summary of container multimodal transport, low-carbon transport, China-EU container trade corridor and multi-objective planning, analyzes the current research situation at home and abroad, and summarizes the current research trend of multimodal transport. Secondly, through the analysis of the network structure and current situation of China-EU container intermodal transport channel, to find out the problems of China-Europe container multimodal transport channel, again, According to the analysis of the problems, the multi-objective optimization model of container multimodal transport route optimization in China and Europe is constructed by integrating transport time, transportation cost and carbon emission. According to the different emphases and different needs of participants in multimodal transport, the different weights of the three objective functions are determined, and the multi-objective merging problem is transformed into a single-objective problem by weighted summation, and the genetic algorithm is used to solve the problem. Finally, the Pareto solution of the model is obtained by iterative method. Finally, taking the actual data from Nanjing to Berlin as an example, the analysis shows that the model is feasible and effective, and can provide a highly instructive optimization scheme for the route optimization of container multimodal transport in China and Europe. On the basis of the research on the current situation of container transport channel in China and Europe, this paper combines the route selection of container multimodal transport with the actual situation of China-EU trade. By taking the actual demand in the process of container multimodal transport organization in China and Europe as the starting point to analyze the basic needs of various influencing factors, we can establish a comprehensive consideration of transport time and transportation costs. In order to improve the reliability and simplicity of international container multimodal transport route selection model for carbon emissions, genetic algorithm is used to solve the model. In the algorithm design, the differential requirements of different intermodal transport participants are incorporated and solved by Matlab programming. Finally, the multimodal transport schemes that meet the different preferences of intermodal transport participants are obtained.
【学位授予单位】：郑州大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F512.4

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