交通运输系统工程与信息

交通运输系统工程与信息 ›› 2023, Vol. 23 ›› Issue (3): 243-252.DOI: 10.16097/j.cnki.1009-6744.2023.03.026

• 系统工程理论与方法 • 上一篇    下一篇

不确定条件下考虑横纵联盟策略的船期协调研究

赵旭*，陈家钦，黄瑞   

  1. 大连海事大学，交通运输工程学院，辽宁大连116026
  • 收稿日期:2023-03-16 修回日期:2023-04-26 接受日期:2023-04-28 出版日期:2023-06-25 发布日期:2023-06-23
  • 作者简介:赵旭(1967-)，女，辽宁大连人，教授，博士
  • 基金资助:
    国家社科基金(18VHQ005);国家社科基金国家应急管理体系建设研(20VYJ024)

Ship Schedule Coordination Considering Horizontal and Vertical Alliance Strategy Under Uncertainty

ZHAO Xu*, CHEN Jia-qin, HUANG Rui   

  1. College of Transportation Engineering, Dalian Maritime University, Dalian 116026, Liaoning, China
  • Received:2023-03-16 Revised:2023-04-26 Accepted:2023-04-28 Online:2023-06-25 Published:2023-06-23
  • Supported by:
    National Social Science Foundation of China (18VHQ005); National Social Science Fund Emergency Management System Construction Research Project (20VYJ024)

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摘要： 为探究港口与航运公司及港口间形成横纵向联盟时，集装箱船船期计划与港航双方收益间的关系，结合船舶在港时间不确定因素，考虑某一航运公司多条航线经挂靠港的船期协调优化问题。以航运公司和港方收益最大化为双目标，构建港口横纵向联盟下集装箱船船期协调的混合整数非线性规划模型，并设计改进的带有精英策略的非支配排序遗传算法(SGA-Ⅱ)进行求解。以高丽海运公司多条航线挂靠上海港、舟山港和南通港为例，在不同情形下进行模拟验证。结果表明：与不考虑港口间联盟相比，港口横纵向联盟下航运公司收益增加62%，港方收益增加25.9%,航运公司、计划港和合作港在联盟下均获益；不同航线数或到离港时间情形下，模型仍可获得稳定的船期计划。研究表明，该模型和算法可为航运公司和港口方在不同情形下做出合理船期计划提供参考。

关键词: 水路运输, 船期协调, 混合整数非线性规划, 合作联盟, 不确定性

Abstract: In order to explore the relationship between the container ship schedule and the revenue of both the port and the shipping company when a horizontal and vertical alliance is formed between the ports and the shipping company, the optimal coordination of the shipping schedule of a certain shipping company's multiple routes through the port of call is investigated with uncertainty in the ship's time in the port. A mixed integer nonlinear programming model of container ship scheduling coordination under the port horizontal and vertical alliance is constructed with the two objectives of maximizing the revenue of shipping companies and ports, and an improved NSGA- algorithm is designed to solve it. Take KMTC's multiple routes connecting with Shanghai Port, Zhoushan Port, and Nantong Port as an example, numerical simulations are conducted to verify the model and algorithm under different circumstances. The results show that compared with the circumstances without considering the inter-port alliance, the revenue of shipping companies under the port horizontal and vertical alliance increases by 6.2%, and the revenue of the port side increases by 25.9%. Shipping companies, planned port, and cooperative ports all benefit from the alliance. Under different routes or arrival and departure times, the model can still obtain a stable shipping schedule. The research shows that the model and algorithm can provide a reference for shipping companies and ports to make reasonable shipping schedules under different circumstances.

Key words: waterway transportation, shipping schedule coordination, mixed integer non-linear programming model; cooperative alliance, uncertainty

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