Container terminal operational performance based on multi-agent system simulation
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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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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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  • Online: September 15,2017
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