摘要
针对不同港口的延误风险和冷藏集装箱重、空箱供需状况,构建多港口多周期冷藏集装箱重空箱联合调度随机规划模型。根据港口节点延迟时间特征,采用威布尔分布函数刻画由港口延误风险产生的延迟时间的概率分布,将港口延误风险价值作为一种机会损失成本,以此为基础对港口群内各港口间的冷藏重空箱联合调度决策进行优化。算例以环渤海港口群为对象进行实证分析,计算结果表明延误时间造成的冷藏重、空箱机会损失成本在总成本中占比12.3%,冷藏集装箱的重箱货损成本占比19.6%,冷藏货物运输对港口延误时间存在明显的敏感性,港口延误风险在很大程度上影响冷藏重空箱调度决策。选取港口延误程度、单位冷藏空箱租箱成本以及冷藏重箱运输需求量进行数值试验,以验证所提出模型的可行性与方法的有效性。试验结果表明,冷藏重空箱联合调度优化模型可以有效地权衡运输收益与港口延误损失,对于港口延误环境下港航企业增加运输收益和提高风险应急管理具有重要的指导意义。
According to the delay risk of different ports and the supply and demand of full and empty refrigerated containers,a stochastic planning model for the joint scheduling of full and empty containers in multiple ports and multiple cycles was constructed.According to the characteristics of the delay time of the port node,the Weibull distribution function is used to describe the probability distribution of the delay time generated by the port delay risk,and the port delay risk value is regarded as an opportunity loss cost,and the joint scheduling decision of refrigerated full and empty containers between ports in the port group is optimized on this basis.The results show that the opportunity loss cost of refrigerated full and empty containers caused by delay time accounts for 12.3%of the total cost,and the cost of full container damage of refrigerated containers accounts for 19.6%,and the transportation of refrigerated cargo has obvious sensitivity to port delay time,and the risk of port delay greatly affects the scheduling decision of refrigerated full and empty containers.Numerical experiments were carried out to verify the feasibility of the proposed model and the effectiveness of the proposed model by selecting the degree of port delay,the cost of renting a unit of refrigerated empty containers,and the transportation demand of refrigerated full containers.The experimental results show that the refrigerated full and empty container joint scheduling optimization model can effectively weigh the transportation revenue and port delay loss,which has important guiding significance for port and shipping enterprises to increase transportation revenue and improve risk emergency management in the port delay environment.
作者
郭姝娟
朱晓琳
蔡佳芯
GUO Shujuan;ZHU Xiaolin;CAI Jiaxin(College of Transportation Engineering,Dalian Maritime University,Dalian 116026,China;School of Maritime Economics and Management,Dalian Maritime University,Dalian 116026,China)
出处
《中国航海》
北大核心
2025年第S1期175-182,共8页
Navigation of China
基金
辽宁省社会科学规划基金重点项目(L22AGL004)
关键词
集装箱调度
冷藏集装箱
重空箱协同
威布尔分布
港口延误
随机规划
container allocation
refrigerated container
full and empty container collaborative transportation
weibull distribution
port delay
stochastic programming
