A STUDY ON INFLUENCING FACTORS AND DEMONSTRATION OF  LEADING THE TRANSFORMATION AND UPGRADING OF  TRADITIONAL MANUFACTURING INDUSTRY WITH ARTIFICIAL  INTELLIGENCE

LI NING , DIVYA MIDHUNCHAKKARAVARTHY

A STUDY ON INFLUENCING FACTORS AND DEMONSTRATION OF LEADING THE TRANSFORMATION AND UPGRADING OF TRADITIONAL MANUFACTURING INDUSTRY WITH ARTIFICIAL INTELLIGENCE

Authors

LI NING , DIVYA MIDHUNCHAKKARAVARTHY

Keywords:

Influencing factors of transformation, artificial intelligence (AI), manufacturing industry, China

Abstract

China's traditional or conventional manufacturing business has been facing a lot of troublebecause of things like growing labour prices, more competition from across the world, andchanging consumer expectations

References

Adesoga, T. O., Ajibaye, T. O., Nwafor, K. C., Imam-Lawal, U. T., Ikekwere, E. A., & Ekwunife, D. I. (2024). The rise of the" smart" supply chain: How AI and automation are revolutionizing logistics. International Journal of Science and Research Archive, 12(2), 790-798.

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Published

2023-10-20

How to Cite

LI NING , DIVYA MIDHUNCHAKKARAVARTHY. (2023). A STUDY ON INFLUENCING FACTORS AND DEMONSTRATION OF LEADING THE TRANSFORMATION AND UPGRADING OF TRADITIONAL MANUFACTURING INDUSTRY WITH ARTIFICIAL INTELLIGENCE . Journal of Computational Analysis and Applications (JoCAAA), 31(4), 1930–1945. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3853