Abstract
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.
Highlights
Container shipping plays an important role in the shipping industry due to its reliable and regular service to ports along routes (Wang et al 2013b)
In view of the initial GreenHouse Gases (GHGs) reduction strategy approved by International Maritime Organization (IMO), which will be adopted in 2018 (IAA PortNews 2016), this paper studies the SSFDP under carbon emissions policies
When we study the impact of different carbon taxes, the carbon emissions cap is ignored in this condition (Ue = ∞)
Summary
Container shipping plays an important role in the shipping industry due to its reliable and regular service to ports along routes (Wang et al 2013b). Containerships have become larger because the container shipping companies aim to take advantage of the economics of scale It is important for a container shipping company to assign containerships to port rotations in an efficient manner to transport containers (Wang, Meng 2017). Because complete probability distributions are hard to obtain in practice, Ng (2015) proposed a new distributionfree optimization model that only requires the specification of the mean, standard deviation and an upper bound of the container shipping demand. These studies make the study of the FDP more realistic
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