Research on ship scheduling optimization in coal port with high inventory considering ship queuing priority

Hua Geng; Zehuan Wang; Qi Gao; Licheng Chang

doi:10.1117/12.2668507

16 February 2023 Research on ship scheduling optimization in coal port with high inventory considering ship queuing priority

Hua Geng, Zehuan Wang, Qi Gao, Licheng Chang

Author Affiliations +

Proceedings Volume 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022); 125912R (2023) https://doi.org/10.1117/12.2668507
Event: 6th International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 2022, Guangzhou, China

Abstract

The turnover speed of the port is the key to the efficiency of railway and shipping joint transportation of large-scale coal energy enterprises. In view of the situation that the high stock of coal port leads to the difficulty of railway unloading, a ship scheduling optimization model considering the priority of ship queuing is constructed. The model takes into account the characteristics of ships entering and leaving the port, tidal characteristics, and the matching characteristics of berths and ships. Genetic algorithm is designed to solve the optimization model with the optimization objective of reducing the storage and increasing the efficiency of the port. The optimal ship scheduling scheme and ship berth matching scheme are given. The example analysis shows that compared with the traditional manual scheduling scheme based on the priority of ship queuing, the model can realize the rapid reduction of port inventory and improve the ship scheduling efficiency while considering the priority of ship queuing, which verifies the effectiveness of the model.

Citation Download Citation

Hua Geng, Zehuan Wang, Qi Gao, and Licheng Chang "Research on ship scheduling optimization in coal port with high inventory considering ship queuing priority", Proc. SPIE 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 125912R (16 February 2023); https://doi.org/10.1117/12.2668507

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