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.
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