摘要
基于移动机器人的拣货系统(Robotic mobile fulfillment systems, RMFS)作为一种新型物至人的拣货系统,相比人工拣货系统和AS/RS拣货系统(下文统称传统拣货系统)具有更高的拣货效率、更好的系统可扩展性和柔性.为全面了解RMFS的运行模式及其优化方向,本文首先回顾了RMFS的工作流程及优化理论框架,然后对RMFS的货位指派、订单分批、任务分配、路径规划以及建模方法等问题进行了文献回顾和总结,并指出了RMFS与传统拣货系统在拣货过程方面的异同及当前研究的不足.最后,讨论了RMFS的几个重要研究方向,为RMFS的理论研究和应用实践提供参考.
As a new kind of parts-to-pickers order picking systems,robotic mobile fulfillment systems(RMFS)have higher picking efficiency,better system scalability and flexibility compared with manual picking systems and AS/RS picking systems(hereinafter referred to as traditional picking systems).In order to fully understand the operation mode and optimization direction of RMFS,this paper first reviews the workflow and optimization theoretical framework of RMFS,then reviews and summarizes the problems of storage location assignment,order batching,task assignment,path planning and modeling methods of RMFS,as well as points out the similarities and differences between RMFS and traditional picking systems in the picking process and the shortcomings of current research.Finally,several important research directions of RMFS are discussed,which provides reference for the theoretical research and application practice of RMFS.
作者
徐翔斌
马中强
XU Xiang-Bin;MA Zhong-Qiang(School of Transportation and Logistics,East China Jiaotong University,Nanchang 330013;School of Traffic and Transportation Engineering,Central South University,Changsha 410075)
出处
《自动化学报》
EI
CAS
CSCD
北大核心
2022年第1期1-20,共20页
Acta Automatica Sinica
基金
国家自然科学基金(71761013)
江西省自然科学基金面上项目(20181BAB201010)资助~~。
关键词
基于移动机器人的拣货系统
订单拣选
物至人
调度优化
智能体
仓储机器人
Robotic mobile fulfillment systems(RMFS)
order picking
parts-to-pickers
scheduling optimization
agent
warehousing robot
