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.

chapter 1|10 pages

Introduction to the modeling and simulation-based systems engineering handbook

ByDaniele Gianni, Andrea D’Ambrogio, and Andreas Tolk

chapter 2|32 pages

Systems engineering, architecture, and simulation

ByAndreas Tolk, Taylor K. Hughes

chapter 3|24 pages

System modeling: Principled operationalization of social systems using Presage2

BySam Macbeth, Dídac Busquets, Jeremy Pitt

chapter 4|28 pages

Formal agent-based models of social systems

ByIl-Chul Moon

chapter 5|24 pages

On the evolution toward computer-aided simulation

ByLuiz Felipe Perrone

chapter 6|30 pages

Model-driven method to enable simulation-based analysis of complex systems

ByPaolo Bocciarelli and Andrea D’Ambrogio

chapter 7|34 pages

Collaborative modeling and simulation in spacecraft design

ByVolker Schaus, Daniel Lüdtke, Philipp M. Fischer, Andreas Gerndt

chapter 8|20 pages

Performance engineering of distributed simulation programs

ByGiuseppe Iazeolla, Alessandra Pieroni

chapter 9|30 pages

Reshuffling PDES platforms for multi/many-core machines: A perspective with focus on load sharing

ByFrancesco Quaglia, Alessandro Pellegrini, Roberto Vitali

chapter 11|30 pages

Reuse-centric simulation software architectures

ByOlivier Dalle

chapter 12|28 pages

Conceptual models become alive with Vivid OPM: How can animated visualization render abstract ideas concrete?

ByDov Dori, Sergey Bolshchikov, Niva Wengrowicz

chapter 13|18 pages

Processes to support the quality of M&S artifacts

ByJan Himmelspach, Stefan Rybacki

chapter 14|38 pages

Formal validation methods in model-based spacecraft systems engineering

ByJoost-Pieter Katoen, Viet Yen Nguyen, Thomas Noll

chapter 15|24 pages

Modeling and simulation framework for systems engineering

BySaikou Diallo, Andreas Tolk, Ross Gore, Jose Padilla

chapter 16|24 pages

Liquid business process model collections

ByWil M. P. van der Aalst, Marcello La Rosa, Arthur H. M. ter Hofstede, and Moe T. Wynn

chapter 17|44 pages

Web-based simulation using Cell-DEVS modeling and GIS visualization

BySixuan Wang, Gabriel Wainer