分类存储下多倍深式货架堆垛机运行时间模型分析-analysis of operating time model of multi-fold deep shelf stacker under classified storage.docx

摘要近年来随着电子商务的发展，对仓储空间的要求越来越高，而仓储系统中最重 要的问题就是提高仓库利用率和产品的出入库效率，提高仓库利用率和产品出入库 效率成为众多企业和研究者关注的焦点。倍深式货架等高密度货架由于储存密度增 加，巷道面积减少，有效地提高了仓库利用率，但存取性和出入库能力下降。通过 提高倍深式货架的存取性和出入库能力，并将其扩展到多倍深式货架等高密度货架， 可以使倍深式货架得到更广泛的应用。因此，研究倍深式货架和多倍深货架的运行 时间模型具有很大的意义。本文首先根据堆垛机的运行路径和存取产品的方式，建立了随机存储时倍深式 货架的运行时间模型。然后将产品按照周转率分为两类，分别建立基于拣选作业面 的分类存储和考虑纵深方向的分类存储时的倍深式货架运行时间模型。进而扩展到 货格数一定时的多倍深式货架，分别建立随机存储、基于拣选作业面分类和考虑纵 深方向分类的多倍深式货架的运行时间模型，并对 3 种存储策略的运行时间进行了 比较。最后分析了 A 类产品所占存储量的百分比、产品的需求曲线参数、货架纵深 深度及分区纵深深度大小等对运行时间的影响。得出以下结论，存在最优的货架深 度及分区纵深深度，且与随机存储相比，采用基于拣选作业面的分类存储和考虑纵 深方向的分类存储时运行时间得到了很大改善。关键词：倍深式货架；分类存储；运行时间模型AbstractWith the development of e-commerce in recent years, the requirements of storage space is growing. The most important problem of warehouse management is to increase the utilization of storage space and throughput which has been the focus of major companies and researchers. Deep-lane rack, with high density due to the decrease of the number of tunnel, has an effective improvement in the utilization of storage space, but the accessibility of pallets declines. By improving the accessibility of deep-lane rack can lead to a popular usage of it. Therefore, the study of the travel time model of deep-lane rack is meaningful.Firstly, this thesis established a travel time model of double-deep-lane rack based on random storage assignment according to the way of the stacker. Then divided the products into two classes according to the turnover of each type of item, this thesis established respectively the travel time model based on the class-based storage assignment of the picking face and the deep-lane direction. And then this thesis extended it to the deep-lane rack with a certain volume and established three travel time model based on random storage assignment, class-based storage assignment of the picking face and the class-based storage assignment of deep-lane direction, and then compared the three kinds of travel time. Finally, the analysis of the percent of A-class, the parameter of demand function, t