Ant colony optimization-based multi-objective dispatching strategy for forklifts in 2D warehouses

Wei Tang; Yang Yang Hao; Jie Wang

doi:10.1117/12.2690096

7 September 2023 Ant colony optimization-based multi-objective dispatching strategy for forklifts in 2D warehouses

Wei Tang, Yang Yang Hao, Jie Wang

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127905X (2023) https://doi.org/10.1117/12.2690096
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

This article This paper proposes a path planning and optimization method for forklifts in flat warehouses, taking into account the constraints of storage docking points and channel capacity. Corresponding mathematical models are established. By adding storage docking points to the forklift's travel path, the efficiency and accuracy of forklift operation during cargo handling are improved. At the same time, this paper also considers the impact of factors such as forklift travel speed on path planning and optimization. Experimental results show that this method can effectively avoid conflicts and collisions between forklifts, improve the operational efficiency of forklifts and the speed of goods circulation in warehouses, and provide strong support and reference for improving the operational efficiency and reducing operating costs of flat warehouses.

Citation Download Citation

Wei Tang, Yang Yang Hao, and Jie Wang "Ant colony optimization-based multi-objective dispatching strategy for forklifts in 2D warehouses", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127905X (7 September 2023); https://doi.org/10.1117/12.2690096

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