运筹与管理 ›› 2020, Vol. 29 ›› Issue (4): 130-137.DOI: 10.12005/orms.2020.0099

• 理论分析与方法探讨 • 上一篇    下一篇

兼顾成本与时间保证率的泊位及岸桥协同调度优化

宋云婷, 王诺, 吴暖   

  1. 大连海事大学 交通运输工程学院,辽宁 大连 116026
  • 收稿日期:2018-08-08 出版日期:2020-04-25
  • 作者简介:宋云婷(1993-),女,黑龙江哈尔滨人,博士研究生,研究方向:交通运输规划与管理;王诺(1954-),男,辽宁大连人,教授,博士生导师,博士,研究方向:交通运输规划与管理;吴暖(1991-),男,浙江金华人,研究方向:交通运输规划与管理。

Optimization of Berth and Quay Crane Collaborative Scheduling Considering Both the Cost and Time Guarantee Rate

SONG Yun-ting, WANG Nuo, WU Nuan   

  1. School of Transportation Engineering, Dalian Maritime University, Dalian, 116026, China
  • Received:2018-08-08 Online:2020-04-25

摘要: 针对集装箱班轮根据船期表按计划到离港的运行规律以及港口企业追求低运营成本的需求,本文以集装箱班轮按计划离港保证率最大和码头作业成本最低为目标,构建了泊位及岸桥协同调度多目标优化模型;设计了叠加式局部搜索算法,将其嵌入到带精英策略的非支配排序遗传算法中,经过相互交叉反馈运算,得到Pareto非劣解;采用“性价比”的概念和量化方法,选择出对港口和船公司的利益偏向最小的实施方案,解决了在Pareto解集中寻优的问题。最后,以大连港集装箱码头的生产实际为例,验证了上述优化模型及算法的合理性和有效性。

关键词: 集装箱码头, 保证率, 性价比法, 多目标优化, Pareto最优解

Abstract: According to the special operation law of container liner ships arriving and leaving the port as schedules and the demand of the port enterprises pursues for the lower operating cost, the paper establishes a multi-objective optimization model of berth and quay crane collaborative scheduling problem. The two objectives are maximizing the assurance rate of finishing the handling operation on time and minimizing terminal operation cost. The overlap local searching algorithm is designed to solve the collaborative scheduling problem between quay cranes. And the algorithm is embedded to the non-dominated sorted genetic algorithm-II. After cross feedback operation, the paper gets the Pareto sets of berth and quay crane collaborative scheduling. According to the optimizing idea, the paper evaluates the Pareto non-inferior solutions between the benefits of the port enterprises and shipping companies based on the “cost performance” concept and calculation method. At last, the real case of Dalian port is conducted to verify the rationality of the proposed optimization strategy and effectiveness of analysis method.

Key words: container terminal, assurance rate, cost performance method, multi-objective optimization, Pareto-optimum solution

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