What Every Engineer Should Know About Risk Engineering and Management

by John X. Wang

Completely 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 Assessment along with other chapter updates to make the book current. Features The audience is the beginner with no background in Risk Engineering and can be used by new practitioners, undergraduates, and first-year graduate students.

264 pages, Paperback

First published February 15, 2000

Reviews

[Steve · Rating 4 out of 5]

A solid textbook on risk engineering and management. Powerful tools to assess, quantify, and mitigate risks. Good breakdown and examples of tools of the trade from FMEA, WBS, Monte Carlo, Fishbone, etc. Lots of real world case studies to drive the points home.

[Jennifer · Rating 4 out of 5]

Everybody who makes decisions on projects should read this a good pretext for the jobs they do. It had explanations broken down plainly, but the information is a little dated.

[Madireddy Karthik · Rating 3 out of 5]

to study about the risk factors