Build stronger supply chain resilience by applying enterprise risk management, scenario planning, simulation, and AI-driven risk detection to complex operational disruptions. Designed for learners interested in supply chain risk, inventory resilience, and enterprise risk management, this course shows you how organizations anticipate, absorb, recover from, and adapt to disruption.

You’ll examine emerging risk signals, crisis phases, operational weaknesses, and triggers that can lead to cascading failures. Learn to develop credible scenarios for uncertain demand and extreme events using deterministic and stochastic models, Monte Carlo simulation, reverse stress testing, and tail-risk analysis. You’ll also evaluate inventory and supply chain simulations to identify sensitive variables and disruption pathways. Explore anomaly-detection methods, edge computing, and integrated response workflows for identifying threats, prioritizing alerts, and supporting operational action. By the end of the course, you’ll be able to assess disruption exposure, interpret risk and simulation results, evaluate emerging threats, and recommend practical resilience measures. What makes this course distinctive is its integration of resilience planning, quantitative risk modeling, AI-driven detection, and operational response to support better decisions under uncertainty.