Risk Modeling, Assessment, and Management / Edition 4

by Yacov Y. Haimes

Overview

Public interest in the field of risk analysis has grown and expanded during the past decade. Risk analysis has emerged as an effective and comprehensive procedure that supplements and complements the overall management of almost all aspects of our lives. It is used in such diverse areas as health care, the environment, physical infrastructure systems, engineering, business and many more.

Product Details

ISBN-13:	2901119017980
Publication date:	08/03/2015
Pages:	720
Product dimensions:	6.50(w) x 1.50(h) x 9.50(d)

About the Author

YACOV Y. HAIMES, PhD, is the Lawrence R. Quarles Professor at the School of Engineering and Applied Science, University of Virginia, USA, and is a member of the Systems and Information Engineering faculty and the Civil and Environmental Engineering faculty. He is the Founding Director (1987) of the university-wide Center for Risk Management of Engineering Systems. On the faculty of Case Western Reserve University, USA, for 17 years, he was the Chair of the Systems Engineering Department, and Director of the Center for Large-Scale Systems and Policy Analysis.

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Table of Contents

Partial table of contents:
FUNDAMENTALS OF RISK MODELING, ASSESSMENT, AND MANAGEMENT.
The Role of Modeling in the Risk Assessment Process.
Decision Analysis.
Multiobjective Trade-Off Analysis.
Defining Uncertainty and Sensitivity Analysis.
ADVANCES IN RISK MODELING, ASSESSMENT, AND MANAGEMENT.
Multiobjective Decision-Tree Analysis.
Miltiobjective Risk-Impact Analysis Method.
Statistic of Extremes: Extension of the PMRM.
Fault Trees.
Multiobjective Statistical Method.
Software Risk Management.
Appendix.
Index.

Editorial Reviews

A holistic exploration of risk that attempts to balance the quantitative and empirical dimensions of risk assessment and management with the more qualitative and normative aspects of decision making under risk and uncertainty. Haimes (risk analysis, U. of Virginia) shows how to quantify risk and construct probability in conjunction with real-world decision-making problems including institutional, organizational, political, and cultural considerations. He avoids higher mathematics whenever possible in his presentation of the material. Includes many case studies used to illustrate the analytical methods under discussion. Intended for risk management professionals working in universities, industry, and government. Annotation c. by Book News, Inc., Portland, Or.

Booknews

"…a wonderful reference…absolutely necessary for all of us who teach or apply the techniques and methods of risk." (Risk Analysis, October 2005)

"…should enable students…to be well fortified for applications once they are on the job. Those beyond that stage can look upon the book as a comprehensive and sound treatise." (Journal of Food Quality, October 2004)

“…highly readable…a must for those who want at least an outline of why politicians and financial advisors are so often wrong.” (Measurement & Control, Vol 38 (7), September 2005)

"...can serve as the lead work in graduate business or engineering classes on risk aversion...an excellent reference that will come in handy in...[risk management professionals'] daily work." (Quality Progress, February 2005)

"Professor Haimes' book is already a classic and the second edition is even better. Anyone wishing to make a wise investment with almost no risk but huge intellectual dividends, should consider immediately obtaining a copy of this fine book.” (IIE Transactions on Operations Engineering)

"Incorporating real world examples and case studies to illustrate the analytical methods under discussion, the book presents basic concepts as well as advanced material, avoiding complex mathematics whenever possible." (Journal of the American Water Resources Association)

"…this new edition offers an important resource for industry professionals as well as advanced graduate students in systems engineering." (Zentralblatt MATH, 1105, 85)

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