Paper
14 February 2024 Ship scheduling optimization in restricted two-way channel ports
Cuilian Liu, Jianquan Wen, Na Liu
Author Affiliations +
Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130185J (2024) https://doi.org/10.1117/12.3024034
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China
Abstract
In order to improve the port service level and the efficiency of ships entering and leaving the port in restricted two-way channels, the ship scheduling problem under the type of restricted two-way channels is studied; considering the influence of tides, ship avoidance and safety distance of single two-way channels and other factors on the ship scheduling in the port, a mixed-integer planning model is constructed by taking the time of the ship entering and leaving the port as the decision variable, and minimising the total delay cost of the entering and leaving ships as the objective function; based on the features of the ship scheduling problem, the model is solved by using the Gurobi solver. Through numerical experiments, it can be seen that comparing the results of the model with the current scheduling rules, the average optimization rates under different case sizes are 15.57%, 12.15%, and 19.07%, respectively, which can significantly reduce the cost of delay of ships in the port and improve the efficiency of ship services in the port, thus verifying the validity of the scheme.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Cuilian Liu, Jianquan Wen, and Na Liu "Ship scheduling optimization in restricted two-way channel ports", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130185J (14 February 2024); https://doi.org/10.1117/12.3024034
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Safety

Mathematical optimization

Coastal modeling

Design

Lithium

Engineering

Industry

Back to Top