Vol. 3 No. 2 (2023): Journal of AI-Assisted Scientific Discovery
Articles

AI-Powered Smart Manufacturing Solutions for Bringing Production Back to the USA: Case Studies and Best Practices

Dr. Minh Nguyen
Professor of Information Technology, Hanoi University of Science and Technology, Vietnam
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Published 29-11-2023

How to Cite

[1]
D. M. Nguyen, “AI-Powered Smart Manufacturing Solutions for Bringing Production Back to the USA: Case Studies and Best Practices”, Journal of AI-Assisted Scientific Discovery, vol. 3, no. 2, pp. 56–68, Nov. 2023, Accessed: Nov. 14, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/192

Abstract

The increasing cost of offshore production is resulting in a resurgence in interest in "Bring It Home" initiatives in the United States. Coupled with advances in artificial intelligence (AI) and digital technologies, there is a unique opportunity not simply to rebuild the same designs of offshored manufacturing plants, but to fundamentally rethink how they are designed, built, and operated. New AI-powered smart manufacturing solutions, if appropriately deployed, will dramatically reduce the costs of US onshore manufacturing in a new and highly competitive way. This paper examines new AI-powered smart manufacturing solutions, and highlights three case studies of companies that have successfully introduced them. It finds that even small and mid-sized US manufacturers are taking advantage of the current wave of new AI and related technologies. While it and the accompanying recommendations will be particularly relevant to policymakers at the federal and state levels, industry associations, and economic development organizations, the case studies and recommendations may also be of value to manufacturers themselves. In addition to onshore production, AI and digital technology enable the creation of highly flexible, domestic production “hubs” that bring together design, engineering, production, and fulfillment functions within the same team and facility, and that can be tailored to meet a wide variety of customer needs [1]. AI and digital technologies now enable the creation of smart production machines, systems, and factories that are data-rich, connected, and highly automated. Such production systems reduce the time and cost of the different design, engineering, and production steps in complex and high-mix processes where products tend to be one-off or in small batch sizes. This can include areas such as precision machining and tooling, additive manufacturing, robotics, and silicon chip design and fabrication [2].

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