Technical Papers
Mar 27, 2017

Vessel Scheduling Model of a One-Way Port Channel

Publication: Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 143, Issue 5

Abstract

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%.

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Acknowledgments

The authors deeply thank the editors and three reviewers for their constructive comments and suggestions. This study is supported by the National Natural Science Foundation of China (Grant 51309043), the Outstanding Young Scholars Growth Plan of Liaoning Province (Grant LJQ201405), and a basic research project of the Key Laboratory of Liaoning Provincial Education Department (Grant LZ2015009).

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Go to Journal of Waterway, Port, Coastal, and Ocean Engineering
Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 143Issue 5September 2017

History

Received: May 17, 2016
Accepted: Nov 21, 2016
Published online: Mar 27, 2017
Discussion open until: Aug 27, 2017
Published in print: Sep 1, 2017

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Authors

Affiliations

Xinyu Zhang [email protected]
Associate Professor, Maritime Dynamic Simulation and Control Laboratory of the Ministry of Transportation, Dalian Maritime Univ., Dalian 116026, China (corresponding author). E-mail: [email protected]
Graduate Student, Maritime Dynamic Simulation and Control Laboratory of the Ministry of Transportation, Dalian Maritime Univ., Dalian 116026, China. E-mail: [email protected]
Mingjun Ji
Professor, Dept. of Transportation Management, Dalian Maritime Univ., Dalian 116026, China.
Shun Yao
Assistant Engineer, Aviation Industry Corporation China, Leihua Electronic Technology Research Institute, Wuxi 214000, China.

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