Analytical Methods for Risk Management: A Systems Engineering Perspective

by Garvey; Paul R.

• ISBN13: 9781584886372
• ISBN10: 1584886374
• Edition: 1st
• Format: Hardcover
• Copyright: 2008-10-20
• Publisher: Chapman & Hall/

Summary

Drawing from the author's many years of hands-on experience in the field, Analytical Methods for Risk Management: A Systems Engineering Perspective presents the foundation processes and analytical practices for identifying, analyzing, measuring, and managing risk in traditional systems, systems-of-systems, and enterprise systems.

Table of Contents

Preface	p. xi
Acknowledgments	p. xv
Engineering Risk Management
Introduction	p. 1
Engineering Risk Management Objectives	p. 2
Overview of Process and Practice	p. 3
New Perspectives on Engineering Systems	p. 6
Questions and Exercises	p. 10
References	p. 12
Elements of Probability Theory
Introduction	p. 13
Interpretations and Axioms	p. 13
Conditional Probability and Bayes' Rule	p. 19
Applications to Engineering Risk Management	p. 28
Probability Inference - An Application of Bayes' Rule	p. 28
Writing a Risk Statement	p. 31
Questions and Exercises	p. 34
References	p. 38
Elements of Decision Analysis
Introduction	p. 39
The Value Function	p. 39
Risk and Utility Functions	p. 62
Applications to Engineering Risk Management	p. 91
Questions and Exercises	p. 100
References	p. 102
Analytical Topics in Engineering Risk Management
Introduction	p. 105
Risk Identification and Approaches	p. 105
Risk Analysis and Risk Prioritization	p. 112
Ordinal Approaches and the Borda Algorithm	p. 113
A Value Function Approach	p. 133
Variations on the Additive Value Model	p. 146
Incorporating Uncertainty	p. 155
Risk Management and Progress Monitoring	p. 166
Risk Handling Approaches	p. 166
Monitoring Progress - A Performance Index Measure	p. 167
Allocating Resources - A Simple Knapsack Model	p. 176
Measuring Technical Performance Risk	p. 181
A Technical Performance Risk Index Measure	p. 182
An Approach for Systems-of-Systems	p. 194
Risk Management for Engineering Enterprise Systems	p. 202
The Enterprise Problem Space	p. 203
Enterprise Risk Management: A Capabilities-Based Approach	p. 209
The "Cutting Edge"	p. 235
Questions and Exercises	p. 236
References	p. 241
A Geometric Approach for Ranking Risks	p. 243
Success Factors in Engineering Risk Management	p. 251
Index	p. 255
Table of Contents provided by Ingram. All Rights Reserved.