A Optimization Study on Irregular Positions in Automatic Warehousing Systems
نویسنده
چکیده
We consider the characteristics of automatic warehousing systems with irregular positions, in order to improve the optimization control objectives of the overall working efficiency and space utilization, this paper studies the irregular storage optimization distribution strategy, presents the mathematical model to optimize the irregular storage area and each storage location, and then two-level genetic algorithm is proposed to solve the problem. The result shows that the optimization method effectively improves the system efficiency and realizes the processes of intensive storage and retrieval, which provides the theoretical basis and practical methods for the optimization of irregular storage location assignment in automatic warehousing systems.
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