Description
Book SynopsisCompletely updated, this new edition uniquely explains how to assess and handle technical risk, schedule risk, and cost risk efficiently and effectively for complex systems that include Artificial Intelligence, Machine Learning, and Deep Learning. It enables engineering professionals to anticipate failures and highlight opportunities to turn failure into success through the systematic application of Risk Engineering. What Every Engineer Should Know About Risk Engineering and Management, Second Edition discusses Risk Engineering and how to deal with System Complexity and Engineering Dynamics, as it highlights how AI can present new and unique ways that failures can take place. The new edition extends the term Risk Engineering introduced by the first edition, to Complex Systems in the new edition. The book also relates Decision Tree which was explored in the first edition to Fault Diagnosis in the new edition and introduces new chapters on System Complexity, AI, and Causal Risk
Table of Contents
1. Risk Engineering - Dealing with System Complexity and Engineering Dynamics. 2. Risk Identification - Understanding the Limits of Engineering Designs. 3. Risk Assessment - Extending Murphy’s Law. 4. Design for Risk Engineering - The Art of War Against Failures. 5. Risk Acceptability - Uncertainty in Perspective. 6. From Risk Engineering to Risk Management. 7. Cost Risk - Interacting with Engineering Economy. 8. Schedule Risk - Identifying and Controlling Critical Paths. 9. Integrated Risk Management and Computer Simulation.
