Vol. 4 No. 2 (2024): African Journal of Artificial Intelligence and Sustainable Development
Articles

The Impact of Natural Language Processing on Streamlined Operations in American Aerospace Manufacturing: Enhancing Productivity

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  • Dr. Aïsha Diallo
Dr. Aïsha Diallo
Associate Professor of Computer Science, Cheikh Anta Diop University, Senegal

Published 12-08-2024

Keywords

  • Natural Language Processing,
  • Aerospace Manufacturing
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
Dr. Aïsha Diallo, “The Impact of Natural Language Processing on Streamlined Operations in American Aerospace Manufacturing: Enhancing Productivity”, African J. of Artificial Int. and Sust. Dev., vol. 4, no. 2, pp. 232–252, Aug. 2024, Accessed: Oct. 15, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/162

Abstract

The impact of the COVID-19 pandemic, extreme weather events, international conflicts, and global trade tensions have combined to present America's aerospace manufacturing supply chains with unprecedented challenges. Aerospace customers are demanding greater efforts to safeguard, align, and seek new sources for material, parts, subassemblies, and assemblies as supply chains worldwide have eroded due to various geopolitical, weather, and pandemic causes. A serious shortage of workforce talent on the shop floor level has occurred, a critical issue due to the unique skill requirements in the aerospace manufacturing industry. Shop floor talent is crucial to the successful operational performance of manufacturing businesses. Natural Language Processing (NLP) is a form of AI that affords many opportunities to improve workforce performance and retention. Productivity implications for U.S. aerospace manufacturing are profound.

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