pisco_log
banner

Optimizing Supply Chain Network Design: Research on Intelligent Decision Support System Based on Big Data and Artificial Intelligence

Meijing Song

Abstract


Supply chain network design is the core issue of enterprise supply chain management, which directly affects the operational efficiency and competitiveness of enterprises. It is difficult for traditional supply chain network optimization methods to fully tap and utilize the
value of massive supply chain data, and the advantages of artificial intelligence technology in assisting complex decision-making have not
been fully utilized. Based on the analysis of key elements and objectives of supply chain network design, this paper discusses the application
of big data analysis method in supply chain network optimization, and designs and applies a set of intelligent decision support system of supply chain network based on artificial intelligence technology. The research shows that the intelligent system that integrates big data analysis
and artificial intelligence optimization can significantly improve the quality and efficiency of supply chain network optimization, and provide
new ideas and new momentum for enterprise supply chain reform.

Keywords


Supply chain network design; Big data analysis; Artificial intelligence; Intelligent decision support system

Full Text:

PDF

Included Database


References


[1] Wang Lei, Zhang Pengfei, Chen Fei. Study on the impact of big data analysis capability on supply chain performance [J]. Journal of

Shihezi University (Philosophy and Social Sciences Edition), 2024, 38 (3): 54-62.

[2] Ma Zonggrui, Lu Di, Zhong Wei, Zeng Qinghao, Cao Yi. Design and Analysis of Network Data Acquisition System Based on Virtual

Distributed Technology [J]. Modern Information Technology, 2024, 8 (8): 6-9 + 14.




DOI: http://dx.doi.org/10.70711/aitr.v2i4.4866

Refbacks

  • There are currently no refbacks.