多模式自动化存取系统设备编配问题研究

Equipment Collocation for an Autonomous-Steerable-Vehicle Storage and Retrieval System of a Warehouse

多模式自动化存取系统是在穿梭式密集存储系统基础上提出的一种新型仓储系统,为实现高效存取物资,需对系统设备进行优化编配,避免因部分设备数量编配不合理导致的作业性能瓶颈,从而充分发挥系统的整体作业能力。通过分析多模式自动化存取系统的出入库作业流程,将系统作业流程建模为包含"理货组盘/拆盘作业"、"叉车运输"、"提升机换层"和"穿梭板运输"等服务中心的Jackson排队网络,并根据物资存取作业需求给出系统的设备编配最小方案和优化方案。最后通过一个仿真算例,验证了该方法设计系统设备编配方案的有效性,该方法可对其它类似物流过程的设备编配方案设计提供参考。

An autonomous-steerable-vehicle storage and retrieval system is a new storage system for a warehouse, it is derived from a pallet-shuttle high-density-storage system. In order to store and retrieve material efficiently and fluently, the equipments of the autonomous-steerable-vehicle storage and retrieval system should be carefully collocated to avoid the performance bottleneck due to the unbalanced equipment collocation in the system. In this paper, the inbound and outbound processes of the autonomous-steerable-vehicle storage and retrieval system are analyzed, and Jackson queuing networks are modeled based on these processes, including four service centers： palletizing ＆ splitting unit loads, handling unit loads using forklifts, changing rack floor of unit loads using lifters, and handling unit loads using autonomous steerable vehicle. The minimum and optimal equipment collocations of the system can be concluded by the modeled Jackson queuing networks. At last, an example analysis is shown to verify the validness of the equipment collocation method, which can also be referenced by the equipment collocation of the similar logistics systems.