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A simulation optimization method for vehicles dispatching among multiple container terminals

机译：多个集装箱码头之间车辆调度的仿真优化方法

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摘要

Container terminals, serving as the hubs between container ships and other transportations nodes, are of extreme importance in streamlining the ever increasing global trade. Many different factors affect the service efficiency in container terminals, which inspire great interest in both industrial and academic researches. This work focuses on vehicle dispatching problem which decides, for each internal vehicle in the port, where to go to find a new loading or unloading task in container terminals after finishing the previous one. A multi-factor online dispatching method, which takes both empty traveling and location balance into consideration, is proposed to fit the current condition of the physical and information infrastructure in most of the ports in mainland China. Such a method is established by using combined evolution searching function and discrete event simulation. Through comparing our dispatching method with the traditional dedicated vehicle dispatching methods in various simulation cases, together with theoretical analysis, we prove that our method delivers substantial efficiency improvement in terms of reducing ship serving time and vehicle empty traveling, regardless of changing environment we have examined in the study.
机译：用作集装箱船和其他运输节点之间枢纽的集装箱码头在简化不断增长的全球贸易中至关重要。许多不同的因素影响集装箱码头的服务效率，这引起了工业和学术研究的极大兴趣。这项工作着重于车辆调度问题，该问题针对港口中的每辆内部车辆，在完成前一个任务之后，决定在何处寻找新的集装箱码头装卸任务。提出了一种兼顾空旷旅行和位置平衡的多因素在线调度方法，以适应中国大陆大多数港口的物理和信息基础设施的现状。通过结合使用进化搜索功能和离散事件模拟来建立这种方法。通过在各种模拟情况下将我们的调度方法与传统的专用车辆调度方法进行比较，并结合理论分析，我们证明了我们的方法在减少船舶服务时间和车辆空载行驶方面都具有显着的效率提高，而无论我们检查的环境如何变化在研究中。

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  • 来源
    《Expert Systems with Application》 |2015年第7期|3742-3750|共9页
  • 作者

    Jinghui Tao; Yuzhuo Qiu;

  • 作者单位

    School of Marketing and Logistics Management, Nanjing University of Finance & Economics, Nanjing 210046, PR China Jiangsu Key Laboratory of Modern Logistics, Nanjing University of Finance & Economics, Nanjing 210046, PR China,3 Wenyuan Avenue, YaDong New district, School of Marketing and Logistics Management, Nanjing University of Finance & Economics, Nanjing 210046, PR China;

    School of Marketing and Logistics Management, Nanjing University of Finance & Economics, Nanjing 210046, PR China Jiangsu Key Laboratory of Modern Logistics, Nanjing University of Finance & Economics, Nanjing 210046, PR China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Container terminal; Online dispatching; Event-driven simulation; Evolution algorithm;

    机译：集装箱码头;在线调度;事件驱动的仿真;进化算法;

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