港口航运物流管理中集装箱调配的分布式鲁棒优化研究

发布时间：2019-05-14 01:00

【摘要】：近20年来,在改革开放政策的推动下,我国国民经济和对外贸易迅速发展,集装箱以其方便、快捷、坚固以及有利于多式联运等优势越来越广泛的使用在各种货物的运输上,但同时集装箱的使用也面临着各国各地区贸易不平衡这一挑战。这导致进口主导港口积累了很多空箱,而出口导向港口迫切需要大量空箱。这使得航运公司不得不在各个港口之间运送大量的空集装箱,空集装箱的调配对于航运公司来说这是一笔巨大的运营成本。因此,解决空集装箱调配的问题,能帮助航运公司降低成本,有助于形成企业竞争力。本学位论文在使用分布式鲁棒优化研究空集装箱调配问题中联合考虑了满载集装箱,创新性地引入可折叠集装箱。本学位论文所讨论的标准集装箱均为20英尺,可折叠集装箱在打开时规格与标准集装箱完全相同,折叠时体积为标准集装箱的四分之一。可折叠集装箱不但能节省堆存空间,同时还可以节省舱位空间,这就意味着将大大减少库存成本,增加船舶的集装箱装载量。其次,可折叠集装箱还可以提高装卸效率。对于集装箱调配问题,首先建立了集装箱调配问题的确定性模型。其次,基于确定性模型,我们建立了集装箱供应量与需求量不确定时的两阶段随机规划模型和分布式鲁棒优化模型,并且将分布式鲁棒优化模型转化为可求解的二阶锥规划模型。最后,我们利用滚动时域仿真的方法,对比了三个模型,得出了在解决集装箱调配问题的时候分布式鲁棒优化模型更具优越性,可以为企业降低更多的成本。
[Abstract]:In the past 20 years, driven by the policy of reform and opening up, China's national economy and foreign trade have developed rapidly. Containers have been more and more widely used in the transport of all kinds of goods because of their advantages of convenience, rapidity, firmness and convenience for multimodal transport. But at the same time, the use of containers is also facing the challenge of trade imbalance between countries and regions. This has led to the accumulation of a lot of empty boxes in import-led ports, while export-oriented ports urgently need a large number of empty boxes. This makes shipping companies have to transport a large number of empty containers between ports, and the deployment of empty containers is a huge operating cost for shipping companies. Therefore, solving the problem of empty container allocation can help shipping companies reduce costs and help to form the competitiveness of enterprises. In this thesis, the problem of empty container allocation is studied by using distributed robust optimization, and the collapsible container is introduced innovatively. The standard containers discussed in this thesis are all 20 feet. The foldable containers are exactly the same as the standard containers when they are opened, and the volume of the standard containers is 1/4 of that of the standard containers at the time of folding. Collapsible containers can not only save storage space, but also save space, which means that the inventory cost will be greatly reduced and the container loading capacity of ships will be increased. Secondly, foldable containers can also improve loading and unloading efficiency. For the container allocation problem, firstly, the deterministic model of container allocation problem is established. Secondly, based on the deterministic model, we establish a two-stage stochastic programming model and a distributed robust optimization model when container supply and demand are uncertain. The distributed robust optimization model is transformed into a solvable second-order cone programming model. Finally, we use the rolling time domain simulation method to compare the three models, and show that the distributed robust optimization model has more advantages in solving the container allocation problem, and can reduce more costs for enterprises.
【学位授予单位】：东南大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F552;F252

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