Open AccessOPTIMIZATION OF SHIP SPEED AND FLEET DEPLOYMENT UNDER CARBON EMISSIONS POLICIES FOR CONTAINER SHIPPING
Author(s) -
Yuwei Xing,
Hualong Yang,
Xuefei Ma,
Yan Zhang
Publication year - 2019
Publication title -
transport
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 31
eISSN - 1648-4142
pISSN - 1648-3480
DOI - 10.3846/transport.2019.9317
Subject(s) - software deployment , container (type theory) , simulated annealing , greenhouse gas , integer programming , suite , benchmark (surveying) , operations research , computer science , nonlinear programming , transport engineering , environmental economics , engineering , nonlinear system , economics , mechanical engineering , algorithm , geodesy , operating system , history , archaeology , biology , physics , quantum mechanics , geography , ecology
In this paper, under the consideration of two carbon emissions policies, the issues of optimizing ship speed and fleet deployment for container shipping were addressed. A mixed-integer nonlinear programming model of ship speed and fleet deployment was established with the objective of minimising total weekly operating costs. A simulated annealing algorithm was proposed to solve the problem. An empirical analysis was conducted with the data selected from the benchmark suite. The applicability and effectiveness of the established model and its algorithm are verified by the results. According to the results, two policies of the cap-and-trade programme and the carbon tax can better optimize the results of the ship speed and fleet deployment problem to achieve the goal of reducing carbon emissions. The research remarks in this paper will provide a solution for container shipping companies to make optimized decisions under carbon emissions policies.
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