Robot picker solution in order picking systems: an ergo-zoning approach
Peer reviewed, Journal article
MetadataShow full item record
Original versionIFAC-PapersOnLine. 2020, 53 (2), 10597-10602. https://doi.org/10.1016/j.ifacol.2020.12.2813
Manual order picking is the most labour-intensive activity in warehouses. As an alternative, robot pickers that can work alongside manual order pickers have emerged. This paper presents such a robot picker and develops a method for assigning products to two warehouse zones; one for robot pickers and one for human pickers. A Non-dominated Sorting Genetic Algorithm II (NSGA-II) was used to develop the zoning method, minimizing human workload and maximizing the similarity of product categories in each zone. The method was verified in a case study.