Abstract
In recent years, low energy consumption has become the common choice of economic development in the world. In order to control energy consumption, shipping line speed optimization has become strategically important. to reduce fuel consumption, this study optimizes the container ship fleet deployment problem by adopting the strategy of adjusting each leg of each route’s sailing speed. To calculate fuel consumption more accurately, both sailing speed and the ship’s payload are considered. A multi-objective mixed integer nonlinear programming model is established to optimize the allocation of liner routes with multiple ship types on multiple routes. A linear outer-approximation algorithm and an improved piecewise linear approximation algorithm are used for linearization. If segments of an interval increase, the results will be more accurate but will take more time to compute. As fuel prices increase, to make trade-offs among economic and environmental considerations, the shipping company is adopting the “adding ship and slow down its speed” strategy, which verifies the validity and applicability of the established model.
Highlights
Maritime transport is considered to be an environment-friendly mode of transport, due to over 80% of the world’s trade being carried by maritime transport [1], maritime transport has become a significant contributor to global greenhouse gas (GHG)emissions [2]
Shipping companies adopt the strategy of speed optimization to achieve GHG emission reduction and reduce ship operating costs, which is an effective means for the survival and profitability of ship owners and operators
A speed optimization model is proposed for container ship fleet deployment to minimize the total operating costs and fuel consumption costs over the shipping network
Summary
Maritime transport is considered to be an environment-friendly mode of transport, due to over 80% of the world’s trade being carried by maritime transport [1], maritime transport has become a significant contributor to global greenhouse gas (GHG). When taking minimum cost as the objective function, the shipping companies are determined to reduce speed for each leg in the route so that the fuel consumption of their ships is minimized. Sustainability 2021, 13, 5242 sailing time between ports to increase and requires more ships to be deployed on the route, which increases ship operating costs. To minimize the total costs, a mixed-integer nonlinear program (MINP) with container transshipment is proposed, which takes fuel consumption as the objective function and considers the influence of ship payload and ship speed.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
