Disruption Propagation Modelling and Recovery Optimisation: AI-Driven Strategies for Supply Chain Resilience Enhancement in U.S. Manufacturing

Authors

  • Serkan Gürsoy Associate Professor of Electrical and Electronics Engineering, Istanbul Technical University

Keywords:

disruption propagation modelling, recovery optimisation, strategies, supply chain resilience enhancement, machine learning

Abstract

Supply chain resilience is a critical concept that encompasses the ability of a supply chain to withstand and recover from various disruptions. These disruptions can arise from a multitude of sources, including changes in the business environment, intentional threats, external pressures, limited resources, and risks associated with multiple tiers of customers and suppliers.

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Published

31-12-2023

Issue

Vol. 3 No. 2 (2023): Human-Computer Interaction Perspectives

Section

Articles

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How to Cite

[1]
“Disruption Propagation Modelling and Recovery Optimisation: AI-Driven Strategies for Supply Chain Resilience Enhancement in U.S. Manufacturing”, Human-Computer Interaction Persp., vol. 3, no. 2, pp. 45–52, Dec. 2023, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/hcip/article/view/798