Vessel Scheduling Model of a One-Way Port Channel

Because of the increasing size and amount of vessels, it is important to efficiently manage vessel scheduling in ports. This study aims to assess the effects of channel and berth resources on the operation efficiency of ports using a multiobjective vessel scheduling optimization model. Using the minimum total scheduling time and the waiting time of the vessels as input, the model is for a one-way channel considering the safety, efficiency, and fairness of the scheduling. To solve the scheduling problem, the multiobjective genetic algorithm (MOGA) was used. A scheduling trial for 20 vessels at certain peak hours at a port is simulated. The MOGA simulation obtained eight Pareto optimal solutions, which are vessel scheduling schemes. Compared with the first-come, first-served (FCFS) scheduling method, the capacity conversion times of vessels inbound and outbound can be reduced ninefold, and the total scheduling time can be reduced by more than 40%.