Probe - Accounting, Auditing and Taxation

Supply Chain Optimization and Risk Management Research Based on Big Data and Artificial Intelligence

Zhengyang Mou

College of Liberal Arts & Sciences, University of Illinois at Urbana-Champaign, Champaign, IL, United States

DOI: https://doi.org/10.59429/paat.v6i2.6953

Keywords: Big data; Artificial intelligence; Supply chain optimization; Risk management

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Abstract

With the rapid development of big data and artificial intelligence technology, the field of supply chain management has faced unprecedented opportunities and challenges. Discuss the application of big data and artificial intelligence in supply chain optimization and risk management, and analyze the improvement of supply chain efficiency, flexibility and risk response ability. Some effective strategies and methods are proposed to guide enterprises in how to optimize their supply chain when using big data and artificial intelligence technologies, and effectively manage various potential risks.

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References

[1] Wang Li, Hu Xiaozhe. Research on risk identification and monitoring of power grid material Supply chain based on big data analysis [J]. Modern Management, 2023, 13 (5): 634-641.

[2] Wang Yunpei. Research on green Supply Chain Management optimization based on big Data analysis method [J]. Logistics Technology, 2022, 45 (14): 130-134.

[3] Jiang Zengping, Chen Hua, Huang Dachun. Blockchain, big data, artificial intelligence application in supply chain management [J]. China High-tech, 2023 (7): 152-154.

[4] Chen Taiguang. Research on logistics Supply chain Management based on big Data technology [J]. Industrial Innovation Research, 2023 (22): 44-46.