[Tian, Lingkun; Zhou, Zijuan; Wang, Ping; Zhang, Jun; Zhang, Ning] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.
[Wang, Ping; Zhang, Jun] Cent China Normal Univ, Ecommerce Res Ctr Hubei Prov, Wuhan, Peoples R China.
通讯机构：
[Jun Zhang] S
School of Information Management, Central China Normal University, Wuhan, China<&wdkj&>E-commerce Research Center of Hubei Province, Central China Normal University, Wuhan, China
语种：
英文
关键词：
Bi-objective optimization problem;Energy expenditure;Human-robot coordinated;Multi-objective evolutionary algorithms;Robotic mobile fulfilment system;Storage assignment problem
This research was supported by China Ministry of Education Social Sciences and Humanities Research Fund (no. 22YJA630110) and the National Natural Science Foundation of China (no. 71801105, 72004075).
机构署名：
本校为第一机构
院系归属：
信息管理学院
摘要：
The item storage assignment problem (ISAP) in a robotic mobile fulfillment system (RMFS) is addressed in the paper. Recently, most ISAP studies have concentrated on improving the robots’ picking efficiency while ignoring the fact that RMFS is a human-robot coordinated system. In ISAP, we also need to take human factors into account. This research investigates ISAP by considering both the robots’ picking efficiency and the pickers’ energy expenditure. The bi-objective mixed-integer programming model is developed to maximize the items’ simila...
