基于顾客到达拟合的立体车库搬运器待命位设计策略

为提高立体车库服务效率，依据实际工程数据，对顾客存车到达过程与车辆库内停留时长 进行拟合，将拟合结果与存车到达优先的出库策略结合，作为预测下一任务为存车或取车可能停 放位置的判断依据；建立车库搬运设备调度及运行环境模型，利用Dijkstra算法确定搬运设备到 各可能出库位置节点的最短路径节点集合，通过确定集合分叉节点设计出库待命位置。仿真结 果表明：以顾客存取车到达拟合结果为预测的下一待命位设计，相较原地待命策略减小了顾客平 均等待时间、平均服务时间，增加了搬运器平均能耗、平均利用率，符合待命位设计原理，显著提 高了立体车库服务效率；相较以最小化至各可能出库车辆位置最短路径的出库待命位设计更优， 表现为顾客平均等待时间、搬运器平均服务时间、平均能耗及平均利用率分别减小9.2%、19.2%、 25.6%及13.5%；顾客到达率水平不同，待命位策略的适用性不同，本文设计待命位策略更适用于 顾客到达率较低水平。

Design on Dwell Point Policy of Three-dimensional Garage Movers Based on Customer Arrival Fitting

In order to improve the service efficiency of the three-dimensional garage, the customer's arrival process of the parking and the length of stay in the garage were fitted according to the actual engineering data. The fitting results were combined with the exit strategy of the first arrival of the parking, which was used as the judgment basis for predicting the possible parking location of the next task of the parking or Pick-Up. The model of garage handling equipment scheduling and operation environment was established. Dijkstra algorithm was used to determine the shortest path node set of handling equipment to each possible outlet location node. The outlet dwell point was designed by determining the bifurcating node of the collection. The simulation results show that, compared with the in-situ dwell point strategy, the next dwell point design based on the prediction of the fitting result reduces the average customer waiting time and the average service time, and increases the average energy consumption and the average utilization rate of transporters, which conforms to the dwell point design principle and significantly improves the service efficiency of the stereo-garage. Compared with the retrieval dwell point design which minimizes the shortest path to each possible retrieval vehicle location, the design of this article is better, the average waiting time of customers, the average service time of transporter, the average energy consumption and, the average utilization rate is reduced by 9.2%, 19.2%, 25.6%, and 13.5%, respectively. The level of customer arrival rate is different, and the applicability of the standby strategy is different. The dwell point policy designed in this paper is more suitable for the lower customer arrival rate.