Title: Study on optimisation of supply chain inventory management based on particle swarm optimisation

Authors: Shanyin Yao; Yehui Dong; Jiawei Gao; Minglei Song

Addresses: Department of Economics and Management, Hunan Institute of Traffic Engineering, Heng Yang, 421216, China ' Department of Economics and Management, Hunan Institute of Traffic Engineering, Heng Yang, 421216, China ' Department of Economics and Management, Hunan Institute of Traffic Engineering, Heng Yang, 421216, China ' School of Civil and Transportation Engineering, Henan University of Urban Construction, Pingdingshan, 467041, China

Abstract: Aiming at the problems of poor convergence, high cost and low efficiency of traditional supply chain inventory management model, a supply chain inventory management optimisation method based on particle swarm optimisation (PSO) is proposed. Firstly, the whole process of PSO is described. Secondly, by introducing the inventory of different nodes in the supply chain, the optimal inventory management model meeting the requirements of the supply chain model is designed. Finally, the PSO algorithm is used to design the optimal inventory management model and generate the optimal inventory. The experimental results show that the total inventory cost of this model is only 3.682 million Yuan, which is much lower than other traditional models. It shows that the model can effectively reduce the inventory management cost of supply chain, has high convergence, and can reduce the work intensity of relevant personnel.

Keywords: particle swarm optimisation; PSO; supply chain; inventory; management; model.

DOI: 10.1504/IJISE.2023.134719

International Journal of Industrial and Systems Engineering, 2023 Vol.45 No.3, pp.365 - 377

Received: 28 Oct 2021
Accepted: 07 Jan 2022
Published online: 08 Nov 2023 *

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