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海川讲堂 第二期:A risk-averse approach for joint contract selection and slot allocation in liner container shipping考虑风险规避的集装箱航运合约选择和舱位分配方法

2022-04-27  

报告题目:A risk-averse approach for joint contract selection and slot allocation in liner container shipping 考虑风险规避的集装箱航运合约选择和舱位分配方法

报告人:王亚东 教授

邀请人:鲁渤 教授

时间及地点:2022429日(周五),16:00-18:00,腾讯会议878-739-376

报告摘要:Liner container shipping companies need to satisfy the shipping demand from both the long-term contracts and the spot market. In general, the container shipping demand of the long-term contract has more stable volumes but lower freight rates compared with the spot market demand. It is thus a critical problem for the shipping companies how to provide discriminative shipping services to these two types of shipping demand through contract selection and container slot allocation to simultaneously increase the shipping profit and control its variations resulting from the demand variations. To handle this problem, a two-stage stochastic programming model is constructed in this paper which adopts the Conditional-Value-at-Risk (CVaR) to measure the profit variations. In the first stage, the shipping company selects the long-term contracts from a candidate contract set to sign with customers under the uncertainties in the show-up rates of containers in long-term contracts, and the volumes and the freight rates of the spot market demands. In the second stage, after all uncertainties have been realized, the shipping company determines the slot allocation for both the contract and spot demands. With the introduction of the CVaR, classical Benders decomposition cannot be directly applied to solve the risk-averse model. This paper thus develops a risk-averse Benders decomposition method tailored for the model. Numerical experiments are also conducted to verify the effectiveness of the solution method and provide some meaningful managerial insights.

人物介绍:

     王亚东,南京理工大学威澳门尼斯人官网欢迎您教授、博士生导师。入选国家青年人才计划、“江苏特聘教授”、南京市留学人才择优资助、南京理工大学“青年拔尖人才选聘计划青年教授”。2017年博士毕业于新加坡国立大学,2019年加入南京理工大学。致力于多模式交通系统管理与优化研究,综合运用混合整数规划、随机优化、鲁棒优化等优化理论与方法,解决航运运营管理中的关键科学问题。相关研究成果已在Transportation ScienceTransportation Research Part B等交通与运筹管理知名期刊发表学术论文二十余篇。获得INFORMS Freight Transportation Best Paper Award等多项国际学术奖。担任Transportation Research Part BPart E等期刊审稿人。


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