考虑转港调度的内河港口群多泊位联合配置策略

doi:10.16097/j.cnki.1009-6744.2025.02.030

交通运输系统工程与信息 ›› 2025, Vol. 25 ›› Issue (2): 328-337.DOI: 10.16097/j.cnki.1009-6744.2025.02.030

考虑转港调度的内河港口群多泊位联合配置策略

高攀，黄柳森，赵旭

三峡大学，a.经济与管理学院；b.流域综合治理与水经济发展研究中心，湖北宜昌443002

收稿日期:2024-12-25 修回日期:2025-02-11 接受日期:2025-02-12 出版日期:2025-04-25 发布日期:2025-04-20
作者简介:高攀(1987—)，男，重庆人，讲师，博士。
基金资助:
国家自然科学基金 (72271142)；湖北省高等学校优秀中青年科技创新团队计划项目(T2022006)。

Multi-berth Joint Allocation Strategy in Inland Port Group Considering Ship Transfer Scheduling

GAO Pan^a,b,HUANG Liusen^a,ZHAO Xu^*a,b

a. School of Economics and Management; b. Research Center for Integrated Watershed Management &Water Economy Development, China Three Gorges University, Yichang 443002, Hubei, China

Received:2024-12-25 Revised:2025-02-11 Accepted:2025-02-12 Online:2025-04-25 Published:2025-04-20
Supported by:
National Natural Science Foundation of China (72271142)；Project for Outstanding Young and Middle-aged Science and Technology Innovation Team of Hubei Province, China(T2022006)。

摘要/Abstract

摘要： 为缓解内河港口泊位资源供需时空不匹配问题，将单港泊位分配拓展到腹地高度重叠的内河港口群中，通过考虑不同港口之间的转港调度作业，探索多泊位联合配置优化策略。本文以船舶总成本和在港总时间最小化为目标，建立港口群多泊位联合配置优化模型。依据模型特点，设计改进的非支配排序遗传算法求解模型，并探讨调度实施前后的优化效果。以我国某内河流域的一个港口群为例，对配置模型和优化算法进行可行性验证。实验结果显示：实行联合配置策略的船舶总成本和在港总时间比独立配置均有所降低，且当船舶到港规模由20艘增加到80艘时，实施联合配置策略前后的成本和时间的降低比例平均分别提升至24%和40%左右。同时，当允许转港的船舶数量比例从0增加到20%时，船舶总成本和在港总时间的下降幅度较大；比例超过20%后，呈现边际递减效应。因此，需充分考虑转港调度成本，通过设置适当的转港数量阈值，提升港口群运作效率。

关键词: 水路运输, 联合配置策略, 非支配排序遗传算法, 内河港口群, 多目标优化

Abstract: In order to alleviate the time-space mismatch between the supply and demand of berth resources in inland ports, the allocation of single port berths is extended to inland ports with highly overlapping hinterlands. The optimization strategy of multi berth joint allocation is explored by considering the transfer scheduling operations between different ports. With the aim of minimizing the total cost and the total time in port, a multi-berth joint allocation optimization model for port groups is established. According to the characteristics of the model, an improved non-dominated sorting genetic algorithm is designed to solve the model, and the optimization effect before and after scheduling is discussed. Then, taking a port group in an inland river basin in China as an example, 4 groups of simulation experiments were set according to the ship arrival scale, and 12 numerical examples were randomly generated to verify the effectiveness of the model and the configuration strategy. The experimental results show that the total cost and the total time in port under the joint allocation strategy are lower than those under the independent allocation strategy, and when the size of ships arriving at port increases from 20 to 80, the reduction ratio of cost and time before and after the implementation of the joint allocation strategy increases to about 24% and 40%, respectively. Meanwhile, when the proportion of the number of ships allowed to transport increases from 0 to 20%, the total cost of ships and the total time in port decrease greatly. After the proportion exceeds 20%, a marginal diminishing effect occurs. Therefore, considering the cost of port transfer, setting an appropriate transfer quantity threshold can improve the operation efficiency of the port group.

Key words: waterway transportation, joint allocation strategy, non-dominated sorting genetic algorithm, inland port group, multi objective optimization

中图分类号:

U691.3

高攀, 黄柳森, 赵旭. 考虑转港调度的内河港口群多泊位联合配置策略[J]. 交通运输系统工程与信息, 2025, 25(2): 328-337.

GAO Pan, HUANG Liusen, ZHAO Xu. Multi-berth Joint Allocation Strategy in Inland Port Group Considering Ship Transfer Scheduling[J]. Journal of Transportation Systems Engineering and Information Technology, 2025, 25(2): 328-337.

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参考文献

[1] XU B, LI J, LIU X, et al. System dynamics analysis for the governance measures against container port congestion [J]. IEEE Access, 2021, 9: 13612-13623.

[2]谭志加,曾宪扬,孟强.多式联运网络环境下的内河港口托运人选择分析[J].系统工程理论与实践,2022, 42(5): 1391-1401. [TAN Z J, ZENG X Y, MENG Q. Modelling the choice of shippers on inland river ports for in a multi-modal transportation network[J]. Systems Engineering-Theory & Practice, 2022, 42(5): 1391 1401.]

[3]毕娅,李文锋.集装箱港口集群下多港口多泊位联合调度方法[J]. 计算机应用,2012,32(2): 448-451. [BI Y, LI W F. Multi-port and multi-berth integrated scheduling based on container port cluster[J]. Journal of Computer Applications, 2012, 32(2): 448-451.]

[4] 李志平,赵楠,殷明,等.基于生产泊位资源共享的港航物流信息系统构建[J].交通运输系统工程与信息, 2023, 23(1): 275-283. [LI Z P, ZHAO N, YIN M, et al. Construction of port and shipping logistics information system based on production berth resource sharing[J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(1): 275-283.]

[5]郑建风,赵煜星,刘欣桐,等.多港口区域泊位资源的最优配置与分配[J]. 交通运输工程学报,2023,23(5): 183-191. [ZHENG J F, ZHAO Y X, LIU X T, et al. Optimal configuration and allocation of berth resources in multi-port regions[J]. Journal of Traffic and Transportation Engineering, 2023, 23(5): 183-191.]

[6] GUO L, ZHENG J, LIANG J, et al. Column generation for the multi-port berth allocation problem with port cooperation stability[J]. Transportation Research Part B: Methodological, 2023, 171: 3-28.

[7]杨劼,李婷,白鹏锐.考虑航速优化的多港口泊位协同调度[J]. 交通运输系统工程与信息,2019,19(6): 215 222. [YANG J, LI T, BAI P R. Multi-port berth co scheduling with speed optimization[J]. Journal of Transportation Systems Engineering and Information Technology, 2019, 19(6): 215-222.]

[8] VENTURINI G, IRIS Ç, KONTOVAS C A, et al. The multi-port berth optimization and allocation problem with speed emission considerations[J]. Transportation Research Part D: Transport and Environment, 2017, 54: 142-159.

[9] 张恒,陈秋双. 考虑船舶废气排放的港口群协同泊位分配研究[J].交通运输系统工程与信息,2014,14 (4): 99-106. [ZHANG H, CHEN Q S. Coordinated berth allocation for port group considering vessel emissions[J]. Journal of Transportation Systems Engineering and Information Technology, 2014, 14 (4): 99-106.]

[10] MARTIN-IRADI B, PACINO D, ROPKE S. An adaptive large neighborhood search heuristic for the multi-port continuous berth allocation problem[J]. European Journal of Operational Research, 2024, 316(1): 152-167.

[11] 徐亚, 杜玉泉,龙磊.支持多码头协调运作的泊位调度模型和算法[J]. 系统工程,2015, 33(1): 128-138. [XU Y, DU Y Q, LONG L. Berth scheduling model and algorithm for coordinated operation of multiple container terminals in a port[J]. Systems Engineering, 2015, 33(1): 128-138.]

[12] 赵娅彤,李娜,沈立新.信息共享下的港口泊位调度模式与方法[J]. 系统管理学报, 2024, 33(3): 578-588. [ZHAO Y T, LI N, SHEN L X. Berth scheduling mode and method with information sharing[J]. Journal of Systems & Management, 2024, 33(3): 578-588.]

[13] 郑红星, 刘保利,王泽浩,等.考虑潮汐的多港池港口船舶调度优化[J].系统工程理论与实践,2018,38(10): 2638-2651. [ZHENG H X, LIU B L, WANG Z H, et al. Ship scheduling optimization in multi-harbor basin port considering tidal influence[J]. Systems Engineering Theory & Practice, 2018, 38(10): 2638-2651.]

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考虑转港调度的内河港口群多泊位联合配置策略

Multi-berth Joint Allocation Strategy in Inland Port Group Considering Ship Transfer Scheduling

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