Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 2


Published
on

April 10, 2023


Pages

927-938


DOI

Article

Supply chain network model of cost accounting based on improved particle swarm optimisation algorithm


Authors

Jian Guo Affiliation:
Shaanxi Railway Engineering Survey Co., Ltd, Xi’an, Shaanxi 710043, China


Abstract

This paper examines the current supply chain network model (SCNM) in order to effectively apply cost accounting information to strengthen supply chain management and solve the problem of low overall efficiency of the model. This paper constructs the SCNM of cost accounting, analyses the characteristics of the model and designs the variables of the model. In order to optimise enterprise cost accounting, the corresponding mathematical model is constructed, and the preconditions and constraints for solving the model are set up. In addition, particle swarm optimisation (PSO) algorithm is used to solve the model, and the moving speed of particle swarm is updated by dynamic relaxation factor. Finally, the validity of the model and the accounting cost are simulated. The results show that the model can effectively solve the optimisation problem of SCN in accounting cost.


Keywords

PSO, cost accounting, supply chain


Citation

Guo, J. (2021). Supply chain network model of cost accounting based on improved particle swarm optimisation algorithm. Applied Mathematics and Nonlinear Sciences, 6(2), 927–938. https://doi.org/10.2478/amns.2021.2.00233
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