基于荷兰式拍卖机制的RMFS货位指派研究

目的对移动机器人拣货系统(RMFS)的货位指派问题进行研究,提出基于荷兰式拍卖机制的货位指派模型来提高RMFS的拣货效率。方法构建荷兰式拍卖模型并按周转率对指定区域的SKU进行逐步调整,以货位指派匹配度为期望指标,实现SKU的需求模式与仓库存储结构之间的合理匹配。结果通过与随机指派模型对比发现,在不同仓库规模、需求偏度、订单规模等情况下,基于荷兰式拍卖的货位指派方法可以使拣货路程下降21.15%、工作时间平均下降20.57%左右。结论与传统指派方法相比,提出的货位指派模型可以大幅度降低RMFS系统的拣货距离和时间,大幅度提升在线零售企业的RMFS的拣货效率。

RMFS Storage Location Assignment Based on Dutch Auction

This paper aims to study storage location assignment of RMFS and propose an assignment mechanism model based on the Dutch auction strategy to improve the picking efficiency of RMFS. The Dutch auction model was es-tablished to gradually adjust the SKU of the designated area through the turnover rate to achieve a reasonable match between the demand model and the inventory structure of SKU, and assign matching degree as the expected index. Comparing with the random assignment model, it was found that the average picking distance of the picking route based on the Dutch auction under the condition of different warehouse size, demand skewness, order size, etc. decreased by 21.15%, and the working time decreased by an average of 20.57%. Compared with the traditional assignment method, the assignment mechanism model proposed in this paper significantly shorten the picking distance or time and greatly improve the picking efficiency of the RMFS of online retail enterprises.