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近年来集装箱枢纽港码头拥挤问题日益突出,船舶等泊时间的延长导致船公司经营成本增加,尤其对于经营支线运输的船公司而言更是如此。鉴于此,船公司在拥挤的集装箱枢纽港码头附近设置趸船或驳船作为辅助码头来停泊箱量较小的船舶,通过建立缓冲区以减少等泊时间及降低停泊费用。本文从集装箱支线运输公司经营人的角度,首次提出了集装箱枢纽港主辅码头间的靠泊决策的协同问题,基于泊位调度理论建立了靠泊决策的协同优化模型,并用改进的遗传算法求解。仿真实验定量分析并证实了设置浮动码头对集装箱支线运输公司减少等泊时间及降低成本的有效性。
In recent years, the problem of overcrowding of container hub terminals has become increasingly prominent. The increase of the waiting time of ships has led to the increase of operating costs of shipping companies, especially for shipping companies that operate feeder transportation. In view of this, shipping companies have set up barges or barges as auxiliary terminals near the congested container terminal ports to stop smaller-tonnage vessels by establishing buffer zones to reduce waiting time and reduce parking fees. In this paper, from the perspective of operators of container feeder transportation companies, the coordination problem of berthing decision between the main and auxiliary terminals of container hub port is proposed for the first time. Based on the berth scheduling theory, a collaborative optimization model of docking decision is established and solved with improved genetic algorithm. The simulation experiment quantitatively analyzes and confirms the effectiveness of setting up floating wharf for container feeder transportation companies to reduce the waiting time and reduce costs.