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Optimization problem of storage allocation for vertical lift modules system considering order characteristics

• 1、School of Management, Wuhan University of Science and Technology, Wuhan 430065, China
• 2、 Center for Service Science and Engineering, Wuhan University of Science and Technology, Wuhan 430065, China
• 3、Center for Service Science and Engineering, Wuhan University of Science and Technology, Wuhan 430065, China

Abstract：To improve warehouse operation efficiency, this study addresses the storage location allocation problem in vertical lift modules systemby examining how the relationship between product types and quantities within orders impacts picking and replenishment processes.An integer programming model is constructed with the objective of minimizing pallet movement. Based on the characteristics of dispersed product storage, a variable neighborhood simulated annealing algorithm is designed to solve the problem. Experimental results demonstrate that, compared to genetic algorithms and variable neighborhood algorithms, the proposed variable neighborhood simulated annealing algorithm exhibits significant advantages in solution accuracy and efficiency, effectively solving large-scale storage location assignment problems. Sensitivity analysis indicates that the picking efficiency can be improved by reasonably adjusting the number of pallet storage spaces according to the change of order types.

Keywords： logistics engineering vertical lift modules system storage allocation order picking variable neighborhood simulated annealing