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This paper addresses the joint optimization of order and rack scheduling in KIVA robot-assisted warehouses to enhance efficiency in order processing. A mixed-integer programming model is developed to minimize rack visits, and a simulated annealing search framework is proposed to solve the problem effectively, outperforming existing methods in computational studies. The research provides managerial insights for real-world warehouse operations by analyzing workload balancing and the interlinked nature of orde

Author

ltquy.iemyu

Language

EN