AI-Based Decision Support Systems for Revitalizing American Manufacturing: A Comprehensive Study

Authors

  • Dr. Evelyn Figueroa Professor of Industrial Engineering, University of Chile Author

Keywords:

Decision Support Systems, Manufacturing

Abstract

The development of sustainable, resilient, and efficient manufacturing is essential for an energy-secure, low-carbon future. In American manufacturing, reinvestment in state-of-the-art and state-of-the-practice facilities is critical. Revitalizing advanced low-carbon manufacturing in the United States not only addresses climate change and makes products from sustainable and low-emissions materials, but it is also an opportunity to increase economic productivity. To fully realize this potential, industries must partner with universities and develop advanced decision support for integrating new and higher fidelity materials science and engineering information into computationally enabled manufacturing processes. The use of big data, artificial intelligence (AI), and edge computing are integral to the revitalization process.

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Published

18-09-2024

How to Cite

[1]
Dr. Evelyn Figueroa, “AI-Based Decision Support Systems for Revitalizing American Manufacturing: A Comprehensive Study”, Distrib Learn Broad Appl Sci Res, vol. 10, pp. 101–132, Sep. 2024, Accessed: Dec. 22, 2024. [Online]. Available: https://dlabi.org/index.php/journal/article/view/134

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