Research on Dynamic Storage Allocation of Shelves in Robotic Mobile Fulfillment Systems
In order to improve the picking efficiency of robotic mobile fulfillment sys-tem(RMFS)and better meet the dynamic needs of customers and order deadlines,a dynamic shelf storage allocation strategy is proposed considering the frequency and urgency of future demand,as well as the system congestion factors.A dynamic storage allocation model is constructed to minimize the total distance of shelf transportation,and a heuristic algorithm is designed to solve the model.Firstly,considering the urgency of shelf demand,a greedy algorithm is designed to generate the initial solu-tion;Then,based on the frequency of demand for shelves in subsequent batches of orders and the load capacity balance among aisles,dynamic shelf storage optimiza-tion is carried out using neighborhood search algorithm.Finally,the effectiveness of the proposed model and algorithm is verified by comparison with other static and dynamic storage allocation methods.
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