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This thesis explores the development of a resilient supply chain through intelligent risk management mechanisms, particularly in response to challenges posed by the COVID-19 pandemic. It proposes a framework that integrates data analytics, simulation, and optimization for proactive risk identification and assessment, utilizing social media data for real-time insights. The research highlights significant supply chain risks, such as semiconductor shortages and port congestion, and emphasizes the importance of
- Author
- afnankhanrollpk143
- Language
- EN