Robot picker solution in order picking systems: an ergo-zoning approach
Fabio Sgarbossa, Anita Romsdal, Finn Hartvig Johannson, Torbjørn Krogen
Abstract
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.
Topics & Concepts
SortingOrder pickingWorkloadRobotZoningOrder (exchange)Genetic algorithmComputer scienceWork (physics)Product (mathematics)Operations researchArtificial intelligenceEngineeringWarehouseMathematicsBusinessMachine learningAlgorithmMarketingOperating systemFinanceGeometryCivil engineeringMechanical engineeringAdvanced Manufacturing and Logistics OptimizationIndustrial Automation and Control SystemsOptimization and Packing Problems