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考虑翻箱的场桥调度和提箱集卡数量的集成优化 被引量:5

Integrated Optimization of Yard CraneScheduling and Number of External Container Trucks Considering Relocation
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摘要 在集装箱码头的进口箱堆场中,码头预约机制、待提箱的实时位置和场桥作业调度方案是制约堆场作业效率和堵塞情况的关键。为缓解进口箱堆场的拥塞情况并提高作业效率,在固定的预约时段内,考虑实时压箱量最少的翻箱规则,兼顾场桥间不可跨越和保持安全间距等现实约束,以场桥最长完工时间最小为目标,构建数学优化模型,设计了嵌入修复算子的改进遗传算法用于求解;通过算例实验验证了算法的有效性和方案的优越性,可为堆场实际作业提供决策参考。 In the inbound containeryard of the container terminal,the terminal reservation mechanism,the real-time location of thecontainers and the yard crane operation scheduling are the key factors that restrict the efficiency and congestion of the yard.In order to alleviate the congestion of theinbound container yard and improve the efficiency of the operation,in the fixed reservation period,considering the relocation rule with the least amount of real-time stacked containers,and taking into account the realistic constraints such as the non-crossing and maintaining the safety spacingbetween the yard crane,aiming at minimizing the longest completion time of the yard cranes,a mathematical optimization model is constructed.The improved genetic algorithm with embedded repair operator is designed to solve the problem.The effectiveness of the algorithm and the superiority of the solution are verified by an example experiment.It can provide decision reference for the actual operation of the yard.
作者 郑红星 段爽 孙丛 ZHENG Hong-xing;DUAN Shuang;SUN Cong(Transportation Engineering College, Dalian Maritime University, Dalian 116026, China)
出处 《运筹与管理》 CSSCI CSCD 北大核心 2021年第9期48-55,共8页 Operations Research and Management Science
基金 国家自然科学基金资助项目(71872025)。
关键词 提箱集卡数量 场桥调度 翻箱 改进遗传算法 the number of external container trucks yard crane scheduling relocation improved genetic algorithm
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  • 1李建忠.码头堆场龙门起重机动态配置优化模型[J].交通运输工程学报,2005,5(1):70-74. 被引量:7
  • 2李建忠.集装箱港口堆场起重机的配置确定[J].上海海事大学学报,2005,26(1):22-25. 被引量:4
  • 3刘义苍,孙小明.集装箱堆场吊车装卸作业排序问题的研究[J].工业工程与管理,2005,10(5):72-74. 被引量:5
  • 4李建忠,丁以中,王斌.集装箱堆场空间动态配置模型[J].交通运输工程学报,2007,7(3):50-55. 被引量:26
  • 5Zhao Wenjuan, Goodchild A V. The impact of truck ar- rival information on container terminal rehandling[J]. Transportation Research Part E: Logistics and Trans- portation Review, 2010, 46 (3) : 327- 343.
  • 6Giulianoa G, O'Bricn T. Reducing port-related truck e- missions: The terminal gate appointment system at the ports of Los Angeles and Long Beach [J]. Transporta- tion Research Part D Transport and Environment, 2007, 12(7) : 460-473.
  • 7Namboothiria R, Erera A L. Planning local container drayage operations given a port access appointment sys- tem[J]. Transportation Research Part E: Logistics and Transportation Review, 2008,44(2) : 185- 202.
  • 8Huynh N, Walton C M. Robust scheduling of truck ar- rivals at maritime container terminals[J]. Journal of Transportation Engineering, 2008, 134(8) : 347- 353.
  • 9Guan Changqian, Liu Rongfang. Container terminal gate appointment system optimization[J].Maritime Econom- ics & Logistics, 2009, 11(4): 378-398.
  • 10Chen Gang, Govindan K, Yang Zhongzhen. Managing truck arrivals with time windows to alleviate gate con- gestion at container terminals[J]. International Journal of Production Economics, 2013,141(1) : 179-188.

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