出口箱随机入港下的码头箱区选择与箱位分配协调调度

发布时间：2018-04-25 02:32

本文选题：集装箱码头 + 随机入港　；参考：《大连海事大学》2015年硕士论文

【摘要】：随着集装箱码头竞争的日益激烈,扩大自身生产规模,转变生产作业模式,采用先进科学管理技术,已经成为集装箱码头提升竞争力的必然发展趋势。其中,生产作业模式的转变是码头提高生产能力的关键。从系统角度而言,集装箱码头集疏运作业系统是包括船舶靠泊、泊位分配、岸桥调度、集卡配置、堆场计划、闸口控制等六个作业环节,实现水陆两种运输方式下进出口箱换装的生产作业系统。为了实现各作业环节的高效衔接,整体提升码头生产作业效率,在综合考虑各作业环节之间的相互联系的前提下,出口箱随机入港策略下的混合交叉作业模式被提出并受到学术界和产业界广泛关注。在出口箱随机入港策略下,集装箱的分散堆放和随机选位给堆场制定箱区选择和箱位分配计划带来了巨大困难,不同的堆场堆存计划对场桥装卸作业顺序和集卡接送行驶路径会有不同影响。各作业环节的组织欠佳以及环节间的衔接不畅,终会导致码头整体生产作业效率的低下。为了有效解决出口箱随机入港带来的堆场位置分配问题,本文提出了出口箱随机入港下箱区选择与箱位分配协调调度同步优化思想,并构建和设计了相应的两阶段非线性整数规划模型和基于遗传算法的双层启发式优化算法。算例分析结果表明：该规划模型与优化算法,可以有效地减少集卡行驶路径、缩短集卡等待时间、降低场桥运行成本,实现集卡、场桥、岸桥利用率和使用率的整体提高。与出口箱集中入港集中堆放下的单船独立装卸作业相比,随机入港分散堆放下的混合交叉装卸作业优化方法,可以至少减少集卡搬运单位TEU的平均运行时间5.98%,降低场桥作业成本50.19%,提高了集卡和场桥作业效率,加快船舶装卸作业速率。同时,还可促进码头前方堆场的均衡作业,实现码头设备使用效率与设施利用效率的同步提高。
[Abstract]:With the increasingly fierce competition of container terminals, it has become an inevitable development trend for container terminals to expand their own production scale, change production operation mode and adopt advanced scientific management technology. Among them, the transformation of production operation mode is the key to improve production capacity of wharf. From the system point of view, the container terminal collecting and distributing operation system consists of six operation links, such as ship berthing, berth allocation, bank bridge dispatching, collecting card configuration, yard planning, gate control, etc. The production operation system of import and export box is realized under the two transportation modes of water and land. In order to realize the efficient connection of each operation link and improve the production efficiency of the wharf as a whole, considering the interrelation of each operation link synthetically, The mixed cross-operation model under the strategy of random entry of export boxes has been put forward and paid much attention to by academia and industry. Under the strategy of random entry of export containers, the scattered stacking and random selection of containers makes it difficult for the yard to make the selection of the container area and the plan of the distribution of the containers. Different stacking plans have different effects on the loading and unloading sequence of the yard bridge and the route of card collection. The poor organization of the operation links and the poor connection between the links will eventually lead to the inefficiency of the overall production of the wharf. In order to effectively solve the problem of storage yard location allocation caused by the random entry of export boxes, this paper presents the idea of synchronizing the selection of export boxes into and out of ports and the coordinated scheduling of container allocation. A two-stage nonlinear integer programming model and a two-layer heuristic optimization algorithm based on genetic algorithm are constructed and designed. The simulation results show that the planning model and the optimization algorithm can effectively reduce the driving path, shorten the waiting time, reduce the running cost of the field bridge, and achieve the overall improvement of the utilization ratio and utilization rate of the collection card, the field bridge and the shore bridge. Compared with the single ship independent loading and unloading operation under the centralized loading and unloading of the export box, the optimization method of the mixed cross loading and unloading operation under the random and scattered stowage of the port, The average running time of TEU can be reduced at least 5.98, the cost of field bridge operation 50.19 can be reduced, the efficiency of collecting card and yard bridge can be improved, and the speed of ship loading and unloading can be accelerated. At the same time, it can promote the balanced operation of the yard in front of the wharf, and realize the simultaneous improvement of the utilization efficiency of the terminal equipment and the facility.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U691.3

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