中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2016, Vol. 35 ›› Issue (3): 155-161.DOI: 10.3969/j.issn.1674-0696.2016.03.31

• 交通运输工程 • 上一篇    下一篇

基于作业均衡的集装箱码头岸桥作业调度优化

乐美龙,徐根龙,文洪蕊   

  1. (上海海事大学 物流研究中心,上海 201306)
  • 收稿日期:2015-12-24 修回日期:2015-03-14 出版日期:2016-06-20 发布日期:2016-06-20
  • 作者简介:第一作者:乐美龙(1968—),男,浙江宁波人,教授,博士,博士生导师,主要从事物流规划与管理,港航运作优化方面的研究。E-mail:lemeilong@126.com。
  • 基金资助:
    国家自然科学基金项目(71171129,71471110);上海市科委科研计划项目(111510501900,12dz1124802);上海市教委科研项目(11YZ137))

Quay Crane Scheduling Optimization Considering Operation Balance at Container Terminal

LE Meilong, XU Genlong, WEN Hongrui   

  1. (Logistics Research Center, Shanghai Maritime University, Shanghai 201306, P.R.China)
  • Received:2015-12-24 Revised:2015-03-14 Online:2016-06-20 Published:2016-06-20
  • Contact: 徐根龙(1989—),男,浙江江山人,硕士研究生,主要从事岸桥调度优化方面的研究。E-mail:croger4463@163.com。

摘要: 为了提高集装箱码头资源配置的均衡性,进而提高作业人员任务分配的均衡性以及岸桥设备资源的利用率,提出了基于集装箱码头岸桥作业均衡调度优化问题。以集装箱码头岸桥作业集装箱量和作业时间两个均衡调度为目标,建立集装箱码头岸桥作业均衡的岸桥调度优化模型,并设计遗传算法来求解。通过对3种目标的结果进行比较,得出在岸桥调度过程中考虑岸桥作业量均衡有助于提高岸桥的利用率,减少岸桥无效作业时间,从而提升码头整体作业能力。

关键词: 交通运输工程, 集装箱码头, 作业均衡, 岸桥, 调度优化, 遗传算法

Abstract: In order to improve the balance of resources allocation at container terminal, and then to improve the balance of the operators’ assigned tasks and the utilization rate of the quay crane resources, a quay crane allocation optimization problem, considering operation balance between quay cranes at container terminal, was proposed. A quay crane scheduling optimization model based on the quay crane operation balance at container terminal was established, in order to balance the quantities of the containers and the operational time of quay crane operation. And a genetic algorithm was designed to solve the model. By comparing the results of three different goals, it is concluded that considering the operation balance in the quay crane scheduling process is helpful to improve the utilization rate of quay crane and reduce the quay crane invalid operation time, so as to improve the whole operation capability of the container terminal.

Key words: traffic and transportation engineering, container terminal, operation balance, quay crane, scheduling optimization, genetic algorithm

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