API Sourcing Risk Mitigation and Regulatory-Aware Network Design: AI-Enhanced Supply Chain Resilience for U.S. Pharmaceutical Manufacturing Competitiveness

Authors

  • Thomas Jensen Associate Professor of Computer Science, Aalborg University

Keywords:

api sourcing risk mitigation, regulatory-aware network design, ai-enhanced supply chain resilience, u.s. pharmaceutical manufacturing competitiveness, machine learning

Abstract

The COVID-19 pandemic highlighted a national “wake-up call” to confront supply chain challenges. Several reports have pointed out US pharmaceutical supply chain vulnerabilities (e.g., API source reliance on offshore countries, negative public image of the pharma sector, and brittle supply chains). AI-enhanced supply chain resilience is an urgent need to meet challenges in building US pharmaceutical competitiveness.

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Published

30-06-2021

How to Cite

[1]
“API Sourcing Risk Mitigation and Regulatory-Aware Network Design: AI-Enhanced Supply Chain Resilience for U.S. Pharmaceutical Manufacturing Competitiveness”, Human-Computer Interaction Persp., vol. 1, no. 1, pp. 22–31, Jun. 2021, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/hcip/article/view/781