Optimization Simulation of Material Picking Path for EMU Maintenance
The picking of EMU maintenance materials is the main time-consuming link in the material preparation process.The optimization of the picking path helps to reduce the picking time and improve the mainte-nance efficiency of EMU.The overhaul materials of EMU are randomly stored in multiple storage locations in batches,that is,one material corresponds to multiple storage locations.The existing picking path optimization is based on the premise that one kind of goods corresponds to one storage location.The existing methods make it difficult to solve this problem.On the premise of determining the storage layout,material demand and the maximum load of picking vehicles for EMU maintenance materials,taking the shortest total length of picking path as the goal,the overall optimization model of storage location selection and path planning is established,and the solution algorithm is designed based on simulated annealing algorithm.Through the example verification,compared with the picking path decision-making method based on the proximity principle,through the storage location selection and the overall optimization of the picking path,the picking path can be shortened by 12.5%.
EMUMaintenance materialsPicking schemeStorage unit selectionPicking Path
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