Advanced risk analysis in engineering enterprise systems
 Author/Creator
 Pinto, Cesar Ariel.
 Language
 English.
 Imprint
 Boca Raton, FL : CRC Press, c2013.
 Physical description
 xxi, 442 p. : ill. ; 24 cm.
 Series
 Statistics, textbooks and monographs.
Access
Available online

Stacks

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TA169 .P56 2013

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TA169 .P56 2013
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Contributors
 Contributor
 Garvey, Paul R., 1956
Contents/Summary
 Bibliography
 Includes bibliographical references (p. 421427) and index.
 Contents

 Engineering Risk Management Introduction Objectives and Practices New Challenges Perspectives on Theories of Systems and Risk Introduction General Systems Theory Risk and Decision Theory Engineering Risk Management Foundations of Risk and Decision Theory Introduction Elements of Probability Theory The Value Function Risk and Utility Functions Multiattribute UtilityThe Power Additive Utility Function Applications to Engineering Risk Management A Concluding Thought A Risk Analysis Framework in Engineering Enterprise Systems Introduction Perspectives on Engineering Enterprise Systems A Framework for Measuring Enterprise Capability Risk A Risk Analysis Algebra Information Needs for Portfolio Risk Analysis The "Cutting Edge" An Index to Measure Risk CoRelationships Introduction RCR Postulates, Definitions, and Theory Computing the RCR Index Applying the RCR Index: A Resource Allocation Example Summary Functional Dependency Network Analysis Introduction FDNA Fundamentals Weakest Link Formulations FDNA (alpha, ss) Weakest Link Rule Network Operability and Tolerance Analyses Special Topics Summary A DecisionTheoretic Algorithm for Ranking Risk Criticality Introduction A Prioritization Algorithm A Model for Measuring Risk in Engineering Enterprise Systems A Unifying Risk Analytic Framework and Process Summary Random Processes and Queuing Theory Introduction Deterministic Process Random Process Markov Process Queuing Theory Basic Queuing Models Applications to Engineering Systems Summary Extreme Event Theory Introduction to Extreme and Rare Events Extreme and Rare Events and Engineering Systems Traditional Data Analysis Extreme Value Analysis Extreme Event Probability Distributions Limit Distributions Determining Domain of Attraction Using Inverse Function Determining Domain of Attraction Using Graphical Method Complex Systems and Extreme and Rare Events Summary Prioritization Systems in Highly Networked Environments Introduction Priority Systems Types of Priority Systems Summary Risks of Extreme Events in Complex Queuing Systems Introduction Risk of Extreme Latency Conditions for Unbounded Latency Conditions for Bounded Latency Derived Performance Measures Optimization of PS Summary Appendix: Bernoulli Utility and the St. Petersburg Paradox References Index Questions and Exercises appear at the end of each chapter.
 (source: Nielsen Book Data)
 Publisher's Summary
 Since the emerging discipline of engineering enterprise systems extends traditional systems engineering to develop webs of systems and systemsofsystems, the engineering management and management science communities need new approaches for analyzing and managing risk in engineering enterprise systems. Advanced Risk Analysis in Engineering Enterprise Systems presents innovative methods to address these needs. With a focus on engineering management, the book explains how to represent, model, and measure risk in largescale, complex systems that are engineered to function in enterprisewide environments. Along with an analytical framework and computational model, the authors introduce new protocols: the risk corelationship (RCR) index and the functional dependency network analysis (FDNA) approach. These protocols capture dependency risks and risk corelationships that may exist in an enterprise. Moving on to extreme and rare event risks, the text discusses how uncertainties in system behavior are intensified in highly networked, globally connected environments. It also describes how the risk of extreme latencies in delivering timecritical data, applications, or services can have catastrophic consequences and explains how to avoid these events. With more and more communication, transportation, and financial systems connected across domains and interfaced with an infinite number of users, information repositories, applications, and services, there has never been a greater need for analyzing risk in engineering enterprise systems. This book gives you advanced methods for tackling risk problems at the enterprise level.
(source: Nielsen Book Data)
Subjects
Bibliographic information
 Publication date
 2013
 Responsibility
 C. Ariel Pinto, Paul R. Garvey.
 Series
 Statistics : textbooks and monographs
 ISBN
 9781439826140 (hbk. : acidfree paper)
 1439826145 (hbk. : acidfree paper)