A comprehensive guide to the theory, methodology, and development for modeling systems of systems
Modeling and Managing Interdependent Complex Systems of Systems examines the complexity of, and the risk to, emergent interconnected and interdependent complex systems of systems in the natural and the constructed environment, and in its critical infrastructures. For systems modelers, this book focuses on what constitutes complexity and how to understand, model and manage it.Previous modeling methods for complex systems of systems were aimed at developing theory and methodologies for uncoupling the interdependencies and interconnections that characterize them. In this book, the author extends the above by utilizing public- and private- sector case studies; identifies, explores, and exploits the core of interdependencies; and seeks to understand their essence via the states of the system, and their dominant contributions to the complexity of systems of systems.
The book proposes a reevaluation of fundamental and practical systems engineering and risk analysis concepts on complex systems of systems developed over the past 40 years. This important resource:
* Updates and streamlines systems engineering theory, methodology, and practice as applied to complex systems of systems
* Introduces modeling methodology inspired by philosophical and conceptual thinking from the arts and sciences
* Models the complexity of emergent interdependent and interconnected complex systems of systems by analyzing their shared states, decisions, resources, and decisionmakers
Written for systems engineers, industrial engineers, managers, planners, academics and other professionals in engineering systems and the environment, this text is the resource for understanding the fundamental principles of modeling and managing complex systems of systems, and the risk thereto.
Table des matières
Foreword vii
Acknowledgments xv
1 Modeling and Managing Interdependent Complex Systems of Systems:Fundamentals, Theory and Methodology 1
2 Modeling, Decomposition, and Multilevel Coordination of Complex Systems of Systems 51
3 Hierarchical Holographic Modeling and Multilevel Coordination of Complex Systems of Systems 111
4 Modeling Complex Systems of Systems with Phantom System Models 141
5 Complex Systems of Systems: Multiple Goals and Objectives 183
6 Hierarchical Coordinated Bayesian Modeling of Complex Systems of Systems 229
7 Hierarchical Multiobjective Modeling and Decision Making for Complex Systems of Systems 279
8 Modeling Economic Interdependencies among Complex Systems of Systems 363
9 Guiding Principles for Modeling and Managing Complex Systems of Systems 411
10 Modeling Cyber-Physical Complex Systems of Systems: Four Case Studies 447
11 Global Supply Chain as Complex Systems of Systems 527
12 Understanding and Managing the Organizational Dimension of Complex Systems of Systems 559
13 Software Engineering: The Driver of Cyber-Physical Complex Systems of Systems 607
14 Infrastructure Preparedness for Communities as Complex Systems of Systems 647
15 Modeling Safety of Transportation Complex Systems of Systems via Fault Trees 695
Appendix 739
Author Index 773
Subject Index 779
A propos de l’auteur
Yacov Y. Haimes, P.E., Ph.D., Dr. Engr. h.c. is the Lawrence R. Quarles Professor of Systems and Civil Engineering in the Department of Engineering Systems and the Environment at the University of Virginia, Charlottesville. He is the Founder (1987) and Director of the University-wide Center for Risk Management of Engineering Systems.
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