报告题目：Fleet deployment and slot exchange in liner shipping alliance with carbon emission trading system

报告所属学科：管理科学与工程

报告人：王亚东（南京理工大学）

报告时间：2023年5月16日 10:00-12:00

报告地点：经管院702会议室

报告摘要：

Shipping alliance has become a prevalent cooperation form among major container shipping companies in recent decades. By forming an alliance, shipping companies can better satisfy the shipping demand and improve capacity utilization and profitability. At the same time, the shipping industry has become an important source of global greenhouse gas emissions. Faced with the emerging worldwide maritime carbon emission trading system, the shipping alliance needs to redesign its fleet to control carbon emissions and reduces its negative effects on the profit of the alliance members. This paper considers the fleet deployment and slot exchange problem in shipping alliance with the consideration of carbon emission trading system. A mixed integer nonlinear programming model is first proposed to simultaneously optimize the fleet deployment, the ship sailing speed and schedule for each shipping service, the slot allocation and exchange for each alliance member, and the container routing, with the objective of maximizing the alliance total profit (freight revenue minus the ship operating cost and emission trading cost) and minimize the variation of the profit rate among alliance members. A tailored spatial branch-and-bound algorithm is proposed subsequently considering the structure of the problem to obtain the global optimal solution. Numerical experiments also demonstrate the effectiveness of the model in emission reduction and profit improvement for a shipping alliance.

报告人简介：

王亚东，南京理工大学经济管理学院教授、博导。入选国家海外高水平人才计划、“江苏特聘教授”。本科硕士毕业于华中科技大学，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，解决港口航运运营中的关键科学问题。相关研究成果已在Transportation Science、Transportation Research Part B等交通与运筹管理知名期刊发表学术论文三十余篇。获得INFORMS Freight Transportation Best Paper Award等多项国际学术奖。担任Transportation Research Part B、Part E等期刊审稿人。