Cesar Ariel Pinto, Paul R. Garvey

Advanced Risk Analysis in Engineering Enterprise Systems

• Broschiertes Buch

Produktbeschreibung

Focusing on the modeling, analysis, and management of risk in todayâ s complex engineering enterprise systems, this book provides advanced methods for tackling risk problems at the enterprise level. The text presents a risk analytical framework for engineering enterprise systems and covers capability portfolio risk management, functional dependen

Produktdetails

• Statistics: A Series of Textbooks and Monographs
• Verlag: Taylor & Francis Ltd
• Seitenzahl: 464
• Erscheinungstermin: 21. Januar 2023
• Englisch
• Abmessung: 156mm x 234mm x 27mm
• Gewicht: 686g
• ISBN-13: 9781032477558
• ISBN-10: 1032477555
• Artikelnr.: 73397212

Autorenporträt

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.

Inhaltsangabe

Engineering Risk Management. Perspectives on Theories of Systems and Risk.
Foundations of Risk and Decision Theory. A Risk Analysis Framework in
Engineering Enterprise Systems. An Index to Measure Risk Co-Relationships.
Functional Dependency Network Analysis. A Decision-Theoretic Algorithm for
Ranking Risk Criticality. A Model for Measuring Risk in Engineering
Enterprise Systems. Random Processes and Queuing Theory. Extreme Event
Theory. Prioritization Systems in Highly Networked Environments. Risks of
Extreme Events in Complex Queuing Systems. Appendix. References. Index.