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The capability modeling and simulation (M&S) supplies for
managing systems complexity and investigating systems behaviors has
made it a central activity in the development of new and existing
systems. However, a handbook that provides established M&S
practices has not been available. Until now. Modeling and
Simulation-Based Systems Engineering Handbook details the M&S
practices for supporting systems engineering in diverse domains. It
discusses how you can identify systems engineering needs and adapt
these practices to suit specific application domains, thus avoiding
redefining practices from scratch. Although M&S practices are
used and embedded within individual disciplines, they are often
developed in isolation. However, they address recurring problems
common to all disciplines. The editors of this book tackled the
challenge by recruiting key representatives from several
communities, harmonizing the different perspectives derived from
individual backgrounds, and lining them up with the book's vision.
The result is a collection of M&S systems engineering examples
that offer an initial means for cross-domain capitalization of the
knowledge, methodologies, and technologies developed in several
communities. These examples provide the pros and cons of the
methods and techniques available, lessons learned, and pitfalls to
avoid. As our society moves further in the information era,
knowledge and M&S capabilities become key enablers for the
engineering of complex systems and systems of systems. Therefore,
knowledge and M&S methodologies and technologies become
valuable output in an engineering activity, and their cross-domain
capitalization is key to further advance the future practices in
systems engineering. This book collates information across
disciplines to provide you with the tools to more efficiently
design and manage complex systems that achieve their goals.
The capability modeling and simulation (M&S) supplies for
managing systems complexity and investigating systems behaviors has
made it a central activity in the development of new and existing
systems. However, a handbook that provides established M&S
practices has not been available. Until now. Modeling and
Simulation-Based Systems Engineering Handbook details the M&S
practices for supporting systems engineering in diverse domains. It
discusses how you can identify systems engineering needs and adapt
these practices to suit specific application domains, thus avoiding
redefining practices from scratch. Although M&S practices are
used and embedded within individual disciplines, they are often
developed in isolation. However, they address recurring problems
common to all disciplines. The editors of this book tackled the
challenge by recruiting key representatives from several
communities, harmonizing the different perspectives derived from
individual backgrounds, and lining them up with the book's vision.
The result is a collection of M&S systems engineering examples
that offer an initial means for cross-domain capitalization of the
knowledge, methodologies, and technologies developed in several
communities. These examples provide the pros and cons of the
methods and techniques available, lessons learned, and pitfalls to
avoid. As our society moves further in the information era,
knowledge and M&S capabilities become key enablers for the
engineering of complex systems and systems of systems. Therefore,
knowledge and M&S methodologies and technologies become
valuable output in an engineering activity, and their cross-domain
capitalization is key to further advance the future practices in
systems engineering. This book collates information across
disciplines to provide you with the tools to more efficiently
design and manage complex systems that achieve their goals.
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