Multi-Tier Supplier Risk Modelling and Logistics Contingency Planning: AI-Enhanced Supply Chain Resilience for U.S. Aerospace Manufacturing Competitiveness

Authors

  • Emily Chen Associate Professor of Computer Science, City College of New York

Keywords:

multi-tier supplier risk modelling, logistics contingency planning, ai-enhanced supply chain resilience, u.s. aerospace manufacturing competitiveness, machine learning

Abstract

The idea behind supply chain resilience could be traced back to the 1950s. It refers to a system's ability to absorb disruptions and restore itself in the face of damaged performance as a result of a disruption. Supply chain resilience can enable the supply chain to handle large-scale uncertainties due to its adaptive capacity and ambidextrous activities. Specifically, adaptive capacity is the ability of a supply chain to make rapid adjustments and recover from operational trauma.

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Published

31-12-2024

How to Cite

[1]
“Multi-Tier Supplier Risk Modelling and Logistics Contingency Planning: AI-Enhanced Supply Chain Resilience for U.S. Aerospace Manufacturing Competitiveness”, Human-Computer Interaction Persp., vol. 4, no. 2, pp. 42–52, Dec. 2024, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/hcip/article/view/804