Advanced risk analysis in engineering enterprise systems

Bibliographic Information

Advanced risk analysis in engineering enterprise systems

C. Ariel Pinto, Paul R. Garvey

(Statistics : textbooks and monographs)

CRC Press, c2012

  • : hardback

Available at  / 8 libraries

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Summary: "Engineering today's systems is a challenging and complex task. Increasingly, systems are engineered by bringing together many separate systems, which together provide an overall capability that is otherwise not possible. Many systems no longer physically exist within clearly defined boundaries, are characterized by their ubiquity and lack of specification, and are unbounded, for example, the Internet. More and more communication systems, transportation systems, and financial systems connect across domains and seamlessly interface with an uncountable number of users, information repositories, applications, and services. These systems are an enterprise of people, processes, technologies, and organizations. Enterprise systems operate in network-centric ways to deliver capabilities through richly interconnected networks of information and communication technologies. "--Pref

Includes bibliographical references (p. 421-427) and index

Description and Table of Contents

Description

Since the emerging discipline of engineering enterprise systems extends traditional systems engineering to develop webs of systems and systems-of-systems, 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 large-scale, complex systems that are engineered to function in enterprise-wide environments. Along with an analytical framework and computational model, the authors introduce new protocols: the risk co-relationship (RCR) index and the functional dependency network analysis (FDNA) approach. These protocols capture dependency risks and risk co-relationships 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 time-critical 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.

Table of Contents

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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