Abstract:To sustain the development of maritime transportation, “green ports,” which operate with a good balance between environmental impact and economic interests, have been the focus of port operators and government agencies and are required to look into energy saving and emission reduction initiatives. One such reduction strategy proposed by the International Maritime Organization suggested imposing a carbon emission tax on ports as a long-term solution to reduce carbon emissions, but this would definitely increase the operating cost of ports. Quay cranes (QCs), as one type of handling equipment, play an important role in the service efficiency and carbon emission of ports. Therefore, this paper makes an effort to explore the study of the integrated berth allocation and QC assignment problem with the consideration of carbon emission taxation. This problem is formulated as a biobjective integer programming model, aimed at minimizing the total completion delay of all tasks and the total operating costs for all QCs. Finally, numerical experiments are performed to assess the applicability of the proposed models and evaluate the efficiency of the developed solution algorithm.
Keywords:OR in maritime industry; berth allocation and quay crane assignment; carbon emission taxation; biobjective integer programming; balanced box method
本文于2020年9月发表在Transportation Science上(Vol. 54, No.5,pp1307–1331)，汪挺松为该文第一兼通讯作者。Transportation Science是交通科学领域公认的顶级期刊，该期刊为英超竞猜平台B+类奖励期刊。