Design of optimal iterative upgrade algorithm for green modern digital intelligence supply chain system

Tian Nan; Xuan Wu; Liang Feng; Xiaoting Ren; Xiaoyu Yang

doi:10.1117/12.3031336

19 July 2024 Design of optimal iterative upgrade algorithm for green modern digital intelligence supply chain system

Tian Nan, Xuan Wu, Liang Feng, Xiaoting Ren, Xiaoyu Yang

Proceedings Volume 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024); 131817H (2024) https://doi.org/10.1117/12.3031336
Event: Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 2024, Beijing, China

Abstract

The green modern digital intelligent supply chain system is facing constantly changing demands and complex environments in practice, which is of great significance for the iterative upgrade algorithm design of the system. This study aims to propose a design method for the optimal iterative upgrade algorithm of a green modern digital intelligent supply chain system, in order to promote the efficient operation and sustainable development of the supply chain system. Firstly, through comprehensive analysis of various links in the logarithmic intelligent supply chain system, optimization objectives and constraints are determined. Then, based on genetic algorithm, design the optimal iterative upgrade algorithm model for the digital intelligent supply chain system, and optimize the solution space through repeated iterations to find the optimal solution. Finally, the effectiveness and feasibility of the proposed algorithm were verified through simulation experiments. The results of this study will provide decision support for enterprises in designing and optimizing digital intelligence supply chain systems, promoting efficient resource utilization.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Tian Nan, Xuan Wu, Liang Feng, Xiaoting Ren, and Xiaoyu Yang "Design of optimal iterative upgrade algorithm for green modern digital intelligence supply chain system", Proc. SPIE 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 131817H (19 July 2024); https://doi.org/10.1117/12.3031336

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