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ISSN

2661-4014(Online)

Article Processing Charges (APCs)

US$800

Publication Frequency

Quarterly

PDF

Published

2025-04-16

Issue

Vol 7 No 1 (2025): Published

Section

Articles

Optimizing enterprise management decision - making driven by artificial intelligence: An empirical analysis based on intelligent manufacturing and supply chain management

Jiang Liu

Shanghai Hongyun Education Technology Co., LTD

Hui Wang

Xueda Cultural Communication (Shanghai) Co., LTD


DOI: https://doi.org/10.59429/bam.v7i1.9549


Keywords: Artificial intelligence (AI); Enterprise management; Intelligent manufacturing; Supply chain management


Abstract

This paper examines how AI enhances decision-making in enterprise management, particularly in intelligent manufacturing and supply chain. It contrasts AI with traditional technologies, emphasizing the latter's constraints. The focus is on AI's use in manufacturing and supply chain, encompassing process optimization, quality control, forecasting, and logistics.


References

[1] Johnson, M. A., & Smith, J. R. (2024). The Practice and Exploration of AI - powered Digital Transformation in Enterprise Management. Journal of Management Sciences, 27(4), 56 - 70.

[2] Brown, K. L., & Green, S. A. (2024). Research on the Impact of AI - driven Supply Chain Innovation on the Transformation of the Manufacturing Industry. Industrial Engineering and Management, 29(3), 45 - 58.

[3] Davis, E. L., & White, F. G. (2025). The Mechanism and Path of Promoting the Improvement of Enterprise AI Management Efficiency through School - enterprise Cooperation. China University Scienceand Technology, (3), 32 - 40.

[4] Black, H. M., & Gray, I. J. (2024). An Empirical Analysis of the Empowerment of New Productivity in Enterprises by Commercial AI. Economic Research Journal, 59(7), 112 - 128.

[5] Wilson, J. K., & Thompson, L. M. (2025). Research on the Digital Transformation Strategy of the Supply Chain Based on AI. Logistics Technology and Applications, 30(2), 89 - 96.



ISSN: 2661-4014
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