Overview

Presenting a series of advanced topics in modern risk analysis, this work highlights the modeling, analysis, and management of risk in today's complex engineering enterprise systems. Extending far beyond the scope common to traditional systems, it provides a detailed investigation of extreme events, including the risks of extreme events in complex queuing systems. Chapters cover elements of risk and decision theory, analytical framework, risk co-relationships, functional dependency network analysis, decision-theoretic algorithms, prioritization systems, and complex queuing systems. Exercises are provided at the end of each chapter.

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9781439826140

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Reviews

The book is a decidedly unique and rigorous treatment of selected topics in engineering systems risk analysis and management. The narrative is notably modern and clear. The mathematical formalism is comprehensive and advanced while remaining accessible for those involved in engineering complex systems. This is foremost a book of exciting and innovative ideas for the field, exceeding what might easily have been a rote assembly of worn methods or re-introduction of the works of others. It will be of long-standing appeal to practitioners engaged in the analysis of risk in engineering enterprise systems. The book will also appeal to scholars and researchers who will benefit from the advanced and fresh thinking it offers readers. The book will improve the systems engineering community's ability to address enterprise design risk assessment and management across a system's lifecycle. -Professor James Lambert, Associate Director, Center for Risk Management of Engineering Systems, University of Virginia

<p>The book is a decidedly unique and rigorous treatment of selected topics of risk management and engineering and enterprise systems. The narrative is notably modern and clear, and the mathematical formalism is comprehensive and advanced while remaining accessible for engineering work on complex systems. This is foremost a book of exciting and innovative ideas for the field, exceeding what might easily have been a rote assembly of worn methods or re-introduction of the works of others. The book will be of long-standing appeal to practitioners engaged in risk and security of enterprise and engineering systems. The book will also appeal to scholars and researchers who will benefit from these examples of advanced and fresh thinking for analysis and integration. The book will measurably improve the ability of a reader to cope with hardware and software and enterprise design requirements and risk assessment and management across a system lifecycle.<br> Professor James Lambert, Associate Di

Author Information

C. Ariel Pinto is an Associate Professor in the Department of Engineering Management and Systems Engineering at Old Dominion University, where he co-founded the Emergent Risk Initiative. He earned a Ph.D. in systems engineering from the University of Virginia. Dr. Pinto’s research interests encompass the areas of risk management in engineered systems, including project risk management, risk valuation, risk communication, analysis of extreme-and-rare events, and decision making under uncertainty. Paul R. Garvey is Chief Scientist and a Director for the Center for Acquisition and Systems Analysis, a division of The MITRE Corporation. He earned an A.B. and M.Sc. in pure and applied mathematics from Boston College and Northeastern University, respectively, and a Ph.D. in engineering management from Old Dominion University, where he was awarded the doctoral dissertation medal from the faculty of the College of Engineering. He is the author of the CRC Press books Analytical Methods for Risk Management and Probability Methods for Cost Uncertainty Analysis. Dr. Garvey’s research interests include the theory and application of risk-decision analytic methods to operations research problems in the system sciences domains.

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