大连LNG项目船舶库存路径问题研究

发布时间：2018-03-01 06:09

本文关键词： LNG 库存路径整数规划　出处：《大连海事大学》2014年硕士论文　论文类型：学位论文

【摘要】：我国经济的快速增长,能源需求量不断上升,对LNG的需求量也不断增长。为了解决国内LNG能源供应不足的局面,近年来在沿海港口规划建设了许多LNG接收站,其中大连LNG接收站就是众多项目之一。本文正是从大连LNG项目的角度出发研究库存路径问题的。鉴于库存路径问题是导致LNG供应链物流系统成本过高的主要问题,是关系如何协调LNG进口国和LNG出口国之间战略合作,实现天然气资源有效配置和物流成本有效控制的核心问题,本文致力于对大连LNG项目所存在的库存路径问题从整个供应链角度进行优化,以降低LNG进口成本,实现国内能源的经济性和可持续性发展为最终目标。通过对国内外有关LNG海上库存路径问题相关理论的研究分析发现,国外已有较多学者对该问题进行了研究,并取得一定成果,而国内不仅在此库存路径方面理论研究还是物流策略的实际应用中都比较薄弱处于起步阶段。因此,以大连为例的对LNG海上库存路径问题的深入研究作为研究目标,本文的研究内容将从以下几个方面入手。首先分析总结国内外研究文献综述,明确LNG海上库存路径问题的研究特性和当前研究中所存在的不足之处,重点考虑LNG与其他货种相比的海上运输方式的特殊性,确定了本文以多周期、需求确定、航线固定等条件下的LNG海上库存路径问题作为研究方向。其次从对大连进口LNG国际环境入手,不仅考虑到国际环境改变对LNG库存路径规划的影响,还考虑到国内LNG项目建设进程对该问题的影响。然后通过对大连LNG库存路径问题的主要方面将进行分析,结合大连LNG海上运输库存特点,对所存在的库存路径问题进行描述,建立整数规划模型。在相关假设条件基础上,根据所设立的目标函数使LNG海上库存路径总成本费用最小,并依据具体项目中所需要存在的假设条件,求解最优规划方案。在搜集大量数据资料之后,应用lingo11对该模型求解,求得符合目标函数的最优规划方案。
[Abstract]:With the rapid economic growth of our country, the energy demand is rising, and the demand for LNG is also increasing. In order to solve the shortage of domestic LNG energy supply, many LNG receiving stations have been planned and built in coastal ports in recent years. The Dalian LNG receiving station is one of the many projects. This paper studies the inventory path problem from the point of view of Dalian LNG project. In view of the inventory path problem is the main problem that leads to the high cost of LNG supply chain logistics system. It is the core problem of how to coordinate the strategic cooperation between LNG importing countries and LNG exporters, and realize the effective allocation of natural gas resources and the effective control of logistics costs. This paper focuses on optimizing the inventory path of Dalian LNG project from the point of view of the whole supply chain in order to reduce the import cost of LNG and realize the economic and sustainable development of domestic energy. Through the research and analysis of the related theories about the LNG marine inventory routing problem at home and abroad, it is found that many foreign scholars have carried out research on the problem, and have achieved certain results. However, in China, not only the theoretical research on the inventory path but also the practical application of logistics strategy are relatively weak in the initial stage. Therefore, taking Dalian as an example, the in-depth research on the LNG offshore inventory routing problem is taken as the research goal. The research content of this paper will start from the following several aspects. First of all, it analyzes and summarizes the domestic and foreign literature review, clarifies the research characteristics of the LNG marine inventory routing problem and the shortcomings of the current research, and focuses on considering the particularity of the maritime transport mode of LNG compared with other cargo types. It is determined that the research direction of this paper is the LNG marine inventory routing problem under the conditions of multi-period, demand determination, fixed route and so on. Secondly, the paper starts with the international environment of Dalian import LNG. Not only considering the influence of the international environment change on the LNG inventory path planning, but also considering the impact of the domestic LNG project construction process on this issue. Then, through the analysis of the main aspects of Dalian LNG inventory path problem, Combined with the characteristics of Dalian LNG marine transportation inventory, this paper describes the inventory path problem and establishes an integer programming model. On the basis of the relevant assumptions, the total cost of the LNG offshore inventory path is minimized according to the established objective function. The optimal programming scheme is solved according to the hypothetical conditions needed in the project. After collecting a large amount of data, the model is solved by using lingo11, and the optimal programming scheme which accords with the objective function is obtained.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U691;U695.2

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