Adaptive Risk Mitigation and Supply Network Reconfiguration: AI-Driven Resilience Frameworks for Revitalising U.S. Manufacturing Supply Chains

Authors

  • Daniel Nikulin Professor of Electrical Engineering, National Research University – Moscow Institute of Electronic Technology (MIET)

Keywords:

adaptive risk mitigation, supply network reconfiguration, resilience frameworks, revitalising u.s. manufacturing supply chains, machine learning

Abstract

Resilience is the introduction of scientific theories, concepts, methods, and technical means to restore and quickly reconstruct the disrupted or damaged supply chain and enterprise systems. Resilience is to establish the ability of an enterprise to achieve a constant state of supply to the greatest extent after its supply chain is destroyed or damaged. This article conducts in-depth research on the resilience of supply chain systems using artificial intelligence techniques.

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Published

30-06-2021

Issue

Vol. 1 No. 1 (2021): Human-Computer Interaction Perspectives

Section

Articles

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How to Cite

[1]
“Adaptive Risk Mitigation and Supply Network Reconfiguration: AI-Driven Resilience Frameworks for Revitalising U.S. Manufacturing Supply Chains”, Human-Computer Interaction Persp., vol. 1, no. 1, pp. 43–60, Jun. 2021, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/hcip/article/view/783