This paper explores the simulation of supply chain disruptions and resilience. It employs a three-phase approach, initially focusing on understanding historical supply chain disruptions through the analysis of news articles using Large Language Processing (LLP) methodology. The study then examines supply chain resilience strategies to mitigate these disruptions. The final phase integrates findings to develop a comprehensive framework for simulating supply chain disruptions and resilience. The research concludes with insights into improving supply chain resilience against disruptions, providing a significant contribution to the field of supply chain simulation and resilience management.