考慮能耗的集裝箱碼頭核心資源調(diào)度研究
[Abstract]:With the deepening of economic globalization, the important position of container transportation is becoming more and more obvious. The efficiency of container terminal has become one of the important indicators to evaluate the competitiveness of ports. How to arrange the operation order of container ship and how to configure a reasonable quantity of loading and unloading machinery and equipment has become the key to improve port efficiency. On the other hand, with the increasingly serious problem of climate change, low carbon, energy saving and emission reduction has become an urgent problem in the economic development of various countries. At present, the global shipping industry has begun to build green ships, marked by international norms such as the interim Guide to the calculation of Energy efficiency Design Index (EEDI) enforced by the International Maritime Organization (IMO). In contrast, because of its strong local characteristics, the port is less foreign than the maritime transport ship, so the construction of green port is relatively lack of international compulsory binding standard. With the accelerating process of container port construction in China, the level of automation, information and intelligence has been in the leading position in the world, and the container port in our country has a considerable technical foundation to take account of energy consumption and efficiency. In this context, this paper first introduces the theory of container terminal scheduling and port energy consumption. Secondly, aiming at the minimum loading and unloading time and the minimum energy consumption of port loading and unloading machinery, a dual objective integrated scheduling optimization model of container terminal core resources including shore bridge, collecting card and yard bridge is constructed by adopting the idea of mixed flow workshop. A hybrid optimization algorithm based on simulated annealing algorithm and genetic algorithm is designed. Thirdly, a container terminal is empirically analyzed by Matlab and the optimal scheduling scheme is solved. The results show that the model established in this paper can optimize the energy efficiency level of the port. The loading and unloading time obtained by the genetic simulated annealing algorithm in this paper is better than that of the traditional genetic algorithm.
【學(xué)位授予單位】:大連海事大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:U695.22;U691.3
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