Generative AI for Supply Chain Resilience in Aerospace and Defense Manufacturing

Authors

  • Swetha Ravipudi Lucid Motors, USA Author
  • Swaminathan Sethuraman Visa, USA Author
  • Lalitha Amarapalli Fresenius-Kabi, USA Author

Keywords:

Generative AI, supply chain resilience, aerospace manufacturing

Abstract

In aerospace and defence manufacturing Generative AI (GenAI) is emerged as a revolutionary tool in enhancing supply chain business flexibility. Disturbance in geopolitical instability, raw material shortages, and supplier delays Leads to operational risks. The objective is research paper which explode the application of GenAI-powered predictive modelling to simulate complex disruption scenarios which helps in more accurate risk assessment in strategic contingency planning.

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Published

28-12-2022

How to Cite

[1]
Swetha Ravipudi, Swaminathan Sethuraman, and Lalitha Amarapalli, “Generative AI for Supply Chain Resilience in Aerospace and Defense Manufacturing”, Newark J. Hum. Centric AI Robot Inter., vol. 2, pp. 13–53, Dec. 2022, Accessed: Feb. 16, 2026. [Online]. Available: https://njhcair.org/index.php/publication/article/view/12