航运联盟背景下船舶绿色燃料改造问题研究

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  •  (1. 上海海事大学 物流科学与工程研究院,上海 200000;2. Department of Industrial Engineering, University of Houston;3. 上海市政工程设计研究总院(集团)有限公司,上海市,200092) 
孙薇薇(1999 — ),硕士生,研究方向为绿色港航物流,E-mail:1360073371@qq.com;梁承姬(1970 — ),博士,教授,博士生导师,研究方向为物流系统运作计划与优化,E-mail:liangcj@shmtu.edu.cn

网络出版日期: 2024-02-22

基金资助

国家自然科学基金(71972128); 上海市青年科技英才扬帆计划(21YF1416400); 上海市青年科技启明星计划项目(21QB1404800)

Green fuel retrofit strategies for vessels in the shipping alliance context 

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  • (1. Institutes of Logistics Science and Engineering, Shanghai Maritime University, Shanghai 200000, China;2. Department of Engineering Technology, University of Houston, America; 3. Shanghai Municipal Engineering Design and Research Institute (Group) Co., Ltd., Shanghai 200092, China)
Weiwei SUN (1999 - ),Femail,Master degree student,Research direction is green port logistics,(E-mail)1360073371@qq.com;Chengji Liang(1970 - ),Female,Professor,Doctoral supervisor,Ph.D. Research direction is logistics system operation planning and optimization,(E-mail)liangcj@shmtu.edu.cn

Online published: 2024-02-22

摘要

在国际海事组织(IMO)减排战略和政府减排政策的推动下,航运公司开始改造船舶以使用绿色燃料。但船舶改造期间无法完成运输任务,无形中阻碍了船舶改造计划。在此背景下,提出了航运公司以船队联盟的方式进行合作,通过协调安排运输任务,提高船舶改造率。针对上述问题,建立了双层规划模型,上层以联盟整体经济效益最大化为目标。下层以实现班轮运输利润最大化为目标。该模型为三家联盟公司和班轮运输任务组成的多领导者-单跟随者博弈,形成具有均衡约束的均衡问题(EPEC),利用KKT条件将模型转为多个均衡约束规划问题(MPEC),采用对角化算法(DM)求解,并对联盟效果进行了灵敏度分析。结果表明,该模型与求解方法具有可行性,可为航运脱碳提供新思路。

本文引用格式

孙薇薇, 梁承姬, 石健, 王钰, 张悦, 鲁斌 . 航运联盟背景下船舶绿色燃料改造问题研究[J]. 大连海事大学学报, 2024 , 50(2) : 159 -167 . DOI: 10.16411/j.cnki.issn1006-7736.2024.02.017

Abstract

Under the impetus of the International Maritime Organization (IMO) emission reduction strategies and government policies to reduce emissions, shipping companies have started retrofitting vessels to use green fuels. However, the retrofitting of vessels disrupts regular shipping operations, indirectly impeding vessel retrofitting plans. In this context, it is proposed that shipping companies cooperate through fleet alliances, coordinating and scheduling transportation tasks to increase the rate of vessel retrofitting. To address these issues, a two-level optimization model is established. In the upper level, the objective is to maximize the overall economic benefits of the alliance. In the lower level, the focus is on maximizing the profits of liner shipping operations based on the retrofitting plans from the upper level. This model represents a multi-leader-single-follower game involving three alliance companies and liner shipping tasks, resulting in an equilibrium problem with equilibrium constraints (EPEC). Using Karush-Kuhn-Tucker (KKT) conditions, the model is transformed into multiple mathematical programs with equilibrium constraints (MPEC), and a diagonalization algorithm (DM) is applied for solving. Sensitivity analyses are conducted on the alliance effects. The results show that this model and its solving method are feasible and can provide new insights for decarbonization in the shipping industry.

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