Research on Allocation for Block Workload of Container Yard under Multi-ship Delivery

被引:0
|
作者
Yu, Leilin [1 ,2 ]
Lu, Zhiqiang [1 ]
Xi, Lifeng [1 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Ind Engn & Management, Shanghai, Peoples R China
[2] Shanghai Second Polytech Univ, Dept Ind Engn, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
container terminal; heuristic algorithm; tabu search algorithm; STORAGE SPACE ALLOCATION; OPERATIONS; TERMINALS;
D O I
10.1109/ICCAE.2010.5451647
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With ever increasing containerization in global supply chain, the competition among container terminals has become critical. Functioned as a place to store import/export containers, planning and scheduling of container yard is an important problem of container terminals. In this paper, in order to solve the yard allocation problem, which is an important element of container yard planning, an optimization model of import/export containers' workload allocation for yard blocks is proposed. First, a heuristic algorithm based on balancing dynamically the workload of terminal equipment is developed to generate the initial solution. Then a tabu search algorithm is used to further search the better solution. The experimental results show that the proposed model and its algorithm is a promising tool for allocating yard blocks' workload.
引用
收藏
页码:533 / 537
页数:5
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