Tramp Ship Routing and Scheduling with Speed Optimization Considering Carbon Emissions

Houming Fan, Jiaqi Yu and Xinzhe Liu
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Houming Fan: College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China
Jiaqi Yu: College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China
Xinzhe Liu: College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China

Sustainability, 2019, vol. 11, issue 22, 1-19

Abstract: The International Maritime Organization (IMO) proposed to reduce the total CO 2 emissions of the maritime sector by 50% by 2050, and strive to gradually achieve the zero-carbon target. Therefore, shipping companies need to consider environmental impacts while pursuing benefits. In view of the tramp ship scheduling with speed optimization problem, considering carbon emissions, the configuration of owner ships and charter ships, and the impact of sailing speed on ship scheduling with the target of minimizing the total costs of shipping companies, multi-type tramp ship scheduling and speed optimization considering carbon emissions is established. A genetic simulated annealing algorithm based on a variable neighborhood search is proposed to solve the problem. Firstly, the ship type is matched with the cargo. Then the route is generated according to the time constraint, and finally, the neighborhood search strategy is adopted to improve the solution quality. The effectiveness of the proposed model and algorithm is verified by an example, which also confirms that ship scheduling and sailing speed joint optimization can reduce costs and carbon emissions. Research results can not only deepen the study of the theory of tramp scheduling but also to effectively solve the tramp shipping schedule considering carbon emissions problems faced by companies to provide theoretical guidance.

Keywords: tramp ship; speed optimization; carbon emissions; ship routing and scheduling (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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