https://scholars.lib.ntu.edu.tw/handle/123456789/630087
標題: | Planning a parts-to-picker order picking system with consideration of the impact of perceived workload | 作者: | Kumar, Suryakant JIUH-BIING SHEU Kundu, Tanmoy |
關鍵字: | E-commerce | Order picking system | Parts-to-picker | Queueing theory | Robot-human coordination | Smart warehouses | 公開日期: | 五月-2023 | 出版社: | Elsevier | 卷: | 173 | 來源出版物: | Transportation Research Part E: Logistics and Transportation Review | 摘要: | In the digital age, coordinating robots and humans is critical in e-commerce warehousing. Motivated by observed industrial practices, this study presents a queueing theory based analytical model to investigate the planning issue of robot-human coordination in a parts-to-picker warehousing system. The critical planning decisions involve finding the optimal number of robots in the warehouse, the expected number of robots at essential locations of the warehouse, and performance analysis of the order picking system. A distinctive feature of this study is the conceptualization of a human factor called perceived workload (which depends on the number of robots) in the order picking planning model for efficient order fulfillment. Our analyses interestingly suggest that deploying more robots in warehouses with a parts-to-picker system does not necessarily increase the warehousing system's performance; instead, a trade-off exists. Additionally, the workload-dependent service rate significantly influences the robots queueing in front of the order picking station (internal queue) and the synchronization station (external queue) in the warehouse. More importantly, this work contributes to the design of a human-centric work environment for parts-to-picker order fulfillment system. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/630087 | ISSN: | 13665545 | DOI: | 10.1016/j.tre.2023.103088 |
顯示於: | 工商管理學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。