期刊文献+

集装箱码头装卸设备配置优化研究 被引量:2

Allocation Optimization of Handling Equipment in Container Terminals
下载PDF
导出
摘要 研究了集装箱码头运用双小车岸桥的装卸设备配置问题,通过构建一个包括岸桥、龙门吊和集卡的动态多级排队网络,考虑码头装卸运作中的随机因素,建立集装箱码头装卸作业模型,并运用Witness仿真系统来描述集装箱码头装卸系统,用仿真法求解集装箱码头装卸设备的最优配置。通过对系统输出指标的分析得出了集装箱码头装卸作业的最优配置比,仿真结果表明最优配置可充分提高集装箱码头装卸设备的使用效率。 In this paper, we studied the handling equipment allocation problem in container terminals using double trolly quay crane by constructing a dynamic multistage queuing network including quay cranes, gantry cranes and container trucks, and considering the random factors in terminal handling operations, then established the handling operation model of the container terminal, and used witness simulation system to describe the container terminal handling system and the simulation method to solve the handling equipment optimal allocation in container terminal. Based on system output index analysis, we obtained the optimal allocation ratio for the handling operation of container terminals, as well as the optimal allocation of handling resources through analyzing the system output index of container terminal, which suggested that this resources allocation method could greatly improve the loading and unloading efficacy.
出处 《物流技术》 北大核心 2013年第7期143-146,共4页 Logistics Technology
基金 国家自然科学基金项目(60870014)
关键词 集装箱运输 集装箱码头作业 装卸设备 资源配置优化 container transportation container yard operation loading and unload equipment resource allocation optimization
  • 相关文献

参考文献6

二级参考文献19

共引文献25

同被引文献21

  • 1王小变,韩晓龙.箱区长度对码头装卸效率影响的仿真分析[J].重庆交通大学学报(自然科学版),2012,31(3):521-524. 被引量:3
  • 2金晶,苏勇.一种改进的自适应遗传算法[J].计算机工程与应用,2005,41(18):64-69. 被引量:82
  • 3张莉,霍佳震.基于单船装卸运输模型的集卡配置仿真研究[J].系统仿真学报,2006,18(12):3532-3535. 被引量:23
  • 4江少文.集装箱船舶大型化对上海港发展的影响和机遇[J].中国航海,2007,30(3):77-80. 被引量:7
  • 5Petering M E H. Effect of block width and storage yard layout on marine container terminal performance [J]. Transportation Research Part E (S1366-5545), 2009, 45(4): 591-610. 被引量:1
  • 6Caris A, Macharis C, Janssens G K. Network analysis of container barge transport in the port of Antwerp by means of simulation [J]. Journal of Transport Geography (S0966-6923), 2011, 19(1): 125-133. 被引量:1
  • 7Bruzzone A G, Longo F. 3D simulation as training tool in container terminals: The TRAINPORTS simulator [J]. Journal of Manufacturing Systems (S0278-6125), 2013, 32(1): 85-98. 被引量:1
  • 8Jiirgen Bose, Torsten Reiners, Dirk Steenken, et al. Vehicle Dispatching at Seaport Container Terminals Using Evolutionary Algorithms [C]// Proceeding of the 33rd Hawaii International Conference on System Science Hawaii, USA: R H Sprague (Ed.), 2000: 20-25. 被引量:1
  • 9I F A Vis, M B M de Koster, MWP Savelsbergh. Minimum Vehicle Fleet Size Under Time-Window Constraints at a Container Terminal [J]. Transportation Science (S0041-1655), 2005, 39(2): 249-260. 被引量:1
  • 10Zhuo Sun, Loo Hay Lee, Ek Peng Chew, et al. MicroPort: A general simulation platform for seaport container terminals [J]. Advanced Engineering Inforrnatics (S1474-0346), 2012, 26(1): 80-89. 被引量:1

引证文献2

二级引证文献10

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部