系统仿真学报 ›› 2015, Vol. 27 ›› Issue (5): 1127-1132.

• 仿真技术应用 • 上一篇    下一篇

装卸同步工艺下前方堆场布局分散度仿真研究

于航1, 乐美龙2   

  1. 1.上海海事大学经济管理学院, 上海 201306;
    2.上海海事大学物流研究中心, 上海 201306
  • 收稿日期:2014-04-29 修回日期:2015-01-08 出版日期:2015-05-08 发布日期:2020-09-01
  • 作者简介:于航(1989-),男,江苏徐州,博士生,研究方向为交通运输决策与优化。
  • 基金资助:
    上海市自然科学基金创新行动计划项目(10190502500);上海市科委工程中心项目(09DZ2250400);上海市教委重点学科项目(J50604);上海海事大学博士生创新基金项目(2014ycx041)

Research of Marshalling Yard Dispersion Based on Simulation in Container Terminal

Yu Hang1, Le Meilong2   

  1. 1. School of Economics & Management, Shanghai Maritime University, Shanghai 201306, China;
    2. Logistics Research Center, Shanghai Maritime University, Shanghai 201306, China
  • Received:2014-04-29 Revised:2015-01-08 Online:2015-05-08 Published:2020-09-01

摘要: 集装箱码头作业优化的精细管理,使我们聚焦到了前方堆场布局优化的研究领域。研究提出了集装箱堆场布局分散度的概念,利用集装箱码头作业专业仿真软件Flexsim-CT,建立了装卸同步工艺下,包括泊位,桥吊,堆场,龙门吊,集卡等主要作业设备的码头装卸作业仿真模型。分析了在泊位服务强度高低不同的场景下,堆场布局分散度策略改变对集装箱码头装卸作业时间和桥吊作业效率的影响。结合洋山深水港的实际生产数据进行了案例仿真,根据仿真结果揭示了集装箱堆场布局分散度对集装箱堆场合理规划的重要意义,同时为相关码头企业提出了堆场规划改进的建议。

关键词: 堆场布局优化, 布局分散度, 装卸同步, 仿真建模

Abstract: As development of the precision management in the container terminal, close attention was paid to the research on the optimization of the marshalling yard template. The new concept called the yard dispersion in the container yard template was proposed and the professional simulation software Flexsim-CT was used to build a container handling simulation model which includes berth, quay crane, yard scheduling, yard crane, and trucks. The impact of the different yard dispersion on the total handling time and the efficiency of the quay crane under varying service burden was analyzed. The case study combines the simulation model with the real production data from the Yangshan port, the result shows that the yard dispersion having a great influence on the yard scheduling and the following operations. Some advices are also proposed to the port enterprise to improve their works.

Key words: optimization of yard template, yard dispersion, dual-loading, simulation modeling

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