机架
订单(交换)
计算机科学
能源消耗
阻塞(统计)
聚类分析
拣选订单
消费(社会学)
分布式计算
实时计算
模拟
可靠性工程
运筹学
数据库
工程类
计算机网络
仓库
人工智能
业务
营销
社会学
电气工程
社会科学
机械工程
财务
作者
Xiaowei Li,Guowei Hua,Anqiang Huang,Jiuh‐Biing Sheu,T.C.E. Cheng,Huang Feng-quan
标识
DOI:10.1016/j.tre.2020.102158
摘要
To facilitate more efficient and environmentally-friendly order picking operations, this study explores the optimal storage assignment policy in the Kiva mobile fulfilment system. First, temporal association analysis and a clustering approach are employed to identify highly correlated items to be stored in the same rack. Next, in order to avoid AGV blocking, a new turnover-rate-based decentralized storage policy (TRBDSP) is proposed. Subsequently, an order picking performance evaluation method is presented. Finally, simulation studies are performed to ascertain the effectiveness of TRBDSP. The results show that the new approach can significantly improve order picking efficiency and reduce AGV energy consumption.
科研通智能强力驱动
Strongly Powered by AbleSci AI