Dynamic partition strategy of warehouse area based on workload balance

Jianjun Zhan; Huihong Liu; Guoli Yang; Zhenyu Gao; Zihao Fang; Zhaolin Lv

doi:10.1117/12.2683938

14 June 2023 Dynamic partition strategy of warehouse area based on workload balance

Jianjun Zhan, Huihong Liu, Guoli Yang, Zhenyu Gao, Zihao Fang, Zhaolin Lv

Proceedings Volume 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）; 1270808 (2023) https://doi.org/10.1117/12.2683938
Event: 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 2023, Chongqing, China

Abstract

In order to improve the efficiency of warehouse outbound delivery and avoid local congestion of AGVs, this paper considers both strategies of AGVs path optimization and tasks balancing in the warehouse. In this paper, the A * algorithm is improved. Different estimation functions are used in different areas to more accurately depict the distance relationship between each point pair, and efficiently calculate the shortest feasible path from each storage location to each picking station. At the same time, the outbound tasks are planned reasonably. By establishing a 0-1 integer programming model and using Gurobi to solve it, tasks are allocated regularly to each picking station in the warehouse to maintain the workload balance among the picking areas. The experimental results show that the above strategies reduce the maximum working time of each picking area from 1793t seconds to 1511t seconds, and effectively reduce the total mileage of AGVs and the probability of AGV local congestion.

Citation Download Citation

Jianjun Zhan, Huihong Liu, Guoli Yang, Zhenyu Gao, Zihao Fang, and Zhaolin Lv "Dynamic partition strategy of warehouse area based on workload balance", Proc. SPIE 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 1270808 (14 June 2023); https://doi.org/10.1117/12.2683938

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