1. Enterprise Risk Management in Supply Chains -- 2. Risk Matrices -- 3. Value-Focused Supply Chain Risk Analysis -- 4. Examples of Supply Chain Decisions Trading-off Criteria -- 5. Simulation of Supply Chain Risk -- 6. Value at Risk Models -- 7. Chance-Constrained Models -- 8. Data Envelopment Analysis in Enterprise Risk Management -- 9. Data Mining Models and Enterprise Risk Management -- 10. Balanced Scorecards to Measure Enterprise Risk Performance -- 11. Machine Learning and Artificial Intelligence Risk -- 12. Enterprise Risk Management in Projects -- 13. Natural Disaster Risk Management -- 14. Sustainability and Enterprise Risk Management -- 15. Environmental Damage and Risk Assessment.

This textbook, now in its fourth edition, serves as a comprehensive guide to learning various aspects of risk, encompassing supply chain management, artificial intelligence, and sustainability. It demonstrates a wide range of operations research models that have been successfully applied to enterprise supply chain risk management. Each chapter of the book can function as a standalone module focusing on a specific topic, offering dedicated examples, definitions, and discussion notes. The publication of this book comes at a crucial time when the world is facing increasing challenges from various forms of risk. Events such as Covid-19, the energy crisis, wars, and terrorism in the 21st century have all disrupted supply chains, thus highlighting the critical importance of enterprise risk management. Additional risks, such as financial and technological bubbles, along with concerns surrounding rampant artificial intelligence, contribute to a climate that demands enhanced risk management within organizations.