The automated three-dimensional warehouse is an intricate storage system,and the stacker crane access operation time directly affects the efficiency of the automated three-dimensional warehouse.In order to optimize the access path of stacker crane in the automated warehouse,we propose to use ABC classification method to classify the goods first,and then use it as the basis for cargo level optimization,based on which,we establish a stacker crane access path optimization model,and adopt a genetic algorithm to simulate the optimization model.Finally,the simu-lation results and the results before the optimization of cargo level are compared and analyzed.The access time is reduced by 11.7%after the optimization of cargo level,and the total running time is reduced by 12.0%after the optimization of stacker path.The results prove that the first row of cargo position optimization and then using genetic algorithm to solve the stacker path is an effective way to improve the efficiency of cargo entry and exit.
维普
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