| 基于多智能体仿真的集装箱港口作业效率研究 |
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| 引用本文： | 于旭会,唐国磊,郭子坚,宋向群.基于多智能体仿真的集装箱港口作业效率研究[J].水运工程,2017(9):83-87. |
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| 作者姓名： | 于旭会 唐国磊 郭子坚 宋向群 |
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| 作者单位： | 大连理工大学建设工程学部，海岸和近海工程国家重点实验室，辽宁 大连116023,大连理工大学建设工程学部，海岸和近海工程国家重点实验室，辽宁 大连116023,大连理工大学建设工程学部，海岸和近海工程国家重点实验室，辽宁 大连116023,大连理工大学建设工程学部，海岸和近海工程国家重点实验室，辽宁 大连116023 |
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| 基金项目： | 国家自然科学基金(51579035)；大连市支持高层次人才创新创业项目(2016RQ024) |
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| 摘 要： | 集装箱港口生产作业系统是复杂的离散事件系统,数学建模方法难以构建针对整个系统的模型,而基于过程的仿真模型通常缺乏对设备调度的灵活性。为准确描述我国集装箱港口的作业流程,分析内卡配置数量对港口作业效率的影响,提出了基于事件驱动的集装箱港口多智能体(Multi-Agent)仿真模型。仿真结果表明:岸桥平均装卸效率(GCR)随着内卡数量的增加先急剧增加后缓慢增加,船舶平均等待时间(AWT)和平均在泊时间(AST)与岸桥平均装卸效率呈明显负相关关系。
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| 关 键 词： | 集装箱港口 作业效率 内卡配置数量 多智能体仿真 |
Container terminal operational performance based on multi-agent system simulation |
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| YU Xu-hui,TANG Guo-lei,GUO Zi-jian and SONG Xiang-qun.Container terminal operational performance based on multi-agent system simulation[J].Port & Waterway Engineering,2017(9):83-87. |
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| Authors: | YU Xu-hui TANG Guo-lei GUO Zi-jian and SONG Xiang-qun |
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| Institution: | Faculty of Infrastructure Engineering,State Key Laboratory of Coastal and Offshore Engineering,Dalian University of Technology,Dalian 116023,China,Faculty of Infrastructure Engineering,State Key Laboratory of Coastal and Offshore Engineering,Dalian University of Technology,Dalian 116023,China,Faculty of Infrastructure Engineering,State Key Laboratory of Coastal and Offshore Engineering,Dalian University of Technology,Dalian 116023,China and Faculty of Infrastructure Engineering,State Key Laboratory of Coastal and Offshore Engineering,Dalian University of Technology,Dalian 116023,China |
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| Abstract: | Container terminal operation system is a complex discrete-event system,whose characteristics are difficult to be described by mathematical models,while process-based simulation models are in lack of flexibility of equipment dispatching.In order to analyze the effect of the yard truck fleet size on terminal operational performance by precisely depicting the container flows at port,an event-driven multi-agent simulation model for domestic container terminals is proposed.Results indicate that,gross crane rate (GCR) first increases steeply and then slowly as the number of yard truck increases,and both average waiting time (AWT) and average service time (AST) of ships show high negative correlations with GCR. |
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| Keywords: | container terminal operational performance yard truck fleet size multi-agent simulation |
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