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.…mehr
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
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.
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