Component Scarcity Forecasting and Multi-Tier Supplier Risk Modelling: AI-Driven Supply Chain Resilience for U.S. Technology Product Manufacturing

Authors

  • Yang Wang Associate Professor of Electrical Engineering, Zhejiang University

Keywords:

component scarcity forecasting, multi-tier supplier risk modelling, supply chain resilience, u.s. technology product manufacturing, machine learning

Abstract

In World War II's initial days, U.S. companies dramatically altered their fields of expertise to manufacture supplies for war. Today, as the COVID-19 pandemic has disrupted "business as usual," the supply chain and component shortages contribute to federal policy discussions for revitalizing U.S. domestic tech product manufacturing.

Downloads

Published

31-12-2022

How to Cite

[1]
“Component Scarcity Forecasting and Multi-Tier Supplier Risk Modelling: AI-Driven Supply Chain Resilience for U.S. Technology Product Manufacturing”, Human-Computer Interaction Persp., vol. 2, no. 2, pp. 42–54, Dec. 2022, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/hcip/article/view/789