上海交通大学学报 ›› 2022, Vol. 56 ›› Issue (7): 953-964.doi: 10.16183/j.cnki.jsjtu.2021.105

• 交通运输工程 • 上一篇    下一篇

基于合作协议的集装箱班轮运输船期设计和加油策略联合优化

李德昌, 杨华龙(), 段静茹   

  1. 大连海事大学 交通运输工程学院, 辽宁 大连 116026
  • 收稿日期:2021-04-06 出版日期:2022-07-28 发布日期:2022-08-16
  • 通讯作者: 杨华龙 E-mail:hlyang@dlmu.edu.cn.
  • 作者简介:李德昌(1994-),男,山东省德州市人,博士生,主要从事集装箱班轮运输研究.
  • 基金资助:
    国家自然科学基金资助项目(72071024)

A Joint Optimization of Vessel Scheduling and Refueling Strategy for Container Liner Shipping with Cooperative Agreements

LI Dechang, YANG Hualong(), DUAN Jingru   

  1. College of Transportation Engineering, Dalian Maritime University, Dalian 116026, Liaoning, China
  • Received:2021-04-06 Online:2022-07-28 Published:2022-08-16
  • Contact: YANG Hualong E-mail:hlyang@dlmu.edu.cn.

摘要:

针对码头运营商与船公司间签署船舶到港多时间窗、多起讫时刻和多装卸速率合作协议下的集装箱班轮运输船期设计和加油策略联合优化问题,考虑各加油港燃油价格差异和折扣因素,建立了以班轮运输服务总成本最小化为目标的船期设计和加油策略非线性混合整数规划模型,结合船舶驾驶操控实际,设计了离散化和线性化模型求解技术方法.以中国远洋海运集团有限公司AEX1航线为例进行了大量模拟验证.算例结果显示,船期设计和加油策略联合优化有助于船公司灵活地调整船舶航速,可显著降低班轮运输服务总成本.敏感性分析表明,随着合作协议中船舶到港时间窗长度的扩大,班轮运输服务总成本和船舶航次加油量都随之降低;无论燃油价格如何变化,船期设计和加油策略联合优化都能有效降低班轮运输服务总成本.

关键词: 班轮运输, 合作协议, 船期设计, 加油策略, 联合优化

Abstract:

This paper studies the joint optimization problem of vessel scheduling and refueling strategy for container liner shipping with cooperative agreements signed by the container terminal operators and the shipping company with multiple vessel arrival time windows, multiple start and end times, and multiple handling rates. A non-linear mixed integer programming model for vessel scheduling and refueling strategy problem of liner shipping is established considering fuel price difference and discount factors at different refueling ports, which aims to minimize the total cost of liner shipping service. A set of discretization and linearization technique is applied to the original model in accordance with the vessel navigation controlling practice. Taking the AEX1 route served by China COSCO Shipping Corporation Limited as an example, a large number of simulation verifications are conducted. The results of numerical examples show that the joint optimization of vessel scheduling and refueling strategy helps shipping companies to flexibly adjust vessel sailing speed. It can significantly reduce the total cost of liner shipping service. The sensitivity analysis indicates that the total cost of liner shipping service and the vessel refueling volume in a voyage will reduce with the expansion of time window of vessel arrival at port in the cooperative agreement. No matter how the fuel price changes, the joint optimization of vessel scheduling and refueling strategy can effectively reduce the total cost of liner shipping service.

Key words: liner shipping, cooperative agreement, vessel scheduling, refueling strategy, joint optimization

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