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Design and optimization of parking lot in an underground container logistics system

机译:地下集装箱物流系统停车场的设计与优化

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摘要

To relieve the ground traffic pressure caused by container trucks in a port, an underground container logistics system (UCLS) between Shanghai Waigaoqiao Terminal and Jiading Northwest Logistics Park is proposed. Furthermore, in order to guarantee the connection between the UCLS and the yard behind the ground terminal, a design of an underground parking lot in the system is also proposed. The underground parking lot is a buffer used for the loading and unloading of underground guided vehicles (UGVs). A mixed integer nonlinear programming model (MNIP) for UGVs and yard cranes in the underground system is formulated to minimize the total cost of UGVs waiting and yard cranes. Then, the optimization model is solved via MATLAB software. With sensitivity analysis, the number of loading and unloading points in the underground parking lot is optimized for the purpose of minimizing the total cost. Finally, a simulation experiment is carried out to obtain the optimal configuration of the number of loading and unloading points and the arrival rate in the UCLS.
机译:为了缓解港口集装箱卡车对地面交通的压力,提出了上海外高桥码头与嘉定西北物流园区之间的地下集装箱物流系统(UCLS)。此外,为了保证UCLS和地面终端后面院子之间的连接,还提出了系统中地下停车场的设计。地下停车场是用于装载和卸载地下引导车辆(UGV)的缓冲区。建立了地下系统中的无人货车和院子起重机的混合整数非线性规划模型(MNIP),以最大程度地减少无人货车和候车和院子起重机的总成本。然后,通过MATLAB软件求解优化模型。通过敏感性分析,优化了地下停车场的装卸点数,目的是将总成本降至最低。最后,进行了仿真实验,以获取UCLS中装卸点数和到达率的最佳配置。

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