John Wiley & Sons, Inc., 2015. – 296 p. – ISBN: 1118954130.
Explains multi-level models of enterprise systems and covers modeling methodology
This book addresses the essential phenomena underlying the overall behaviors of complex systems and enterprises. Understanding these phenomena can enable improving these systems. These phenomena range from physical, behavioral, and organizational, to economic and social, all of which involve significant human components. Specific phenomena of interest and how they are represented depend on the questions of interest and the relevant domains or contexts. Modeling and Visualization of Complex Systems and Enterprises examines visualization of phenomena and how understanding the relationships among phenomena can provide the basis for understanding where deeper exploration is warranted. The author also reviews mathematical and computational models, defined very broadly across disciplines, which can enable deeper understanding.
Presents a 10 step methodology for addressing questions associated with the design or operation of complex systems and enterprises
Examines six archetypal enterprise problems including two from healthcare, two from urban systems, and one each from financial systems and defense systems
Provides an introduction to the nature of complex systems, historical perspectives on complexity and complex adaptive systems, and the evolution of systems practice
Modeling and Visualization of Complex Systems and Enterprises is written for graduate students studying systems science and engineering and professionals involved in systems science and engineering, those involved in complex systems such as healthcare delivery, urban systems, sustainable energy, financial systems, and national security.
Introduction and OverviewSystems Perspectives
Complexity and Complex Systems
Complex Versus Complicated Systems
Systems Practice
Phenomena as the Starting Point
Overall MethodologyProblem Archetypes
Methodology
An Example
Supporting the Methodology
Perspectives on PhenomenaDefinitions
Historical Perspectives
Contemporary Perspectives
Taxonomy of Phenomena
Visualizing Phenomena
Physical PhenomenaNatural Phenomena
Designed Phenomena
Deterring or Identifying Counterfeit Parts
Human PhenomenaDescriptive Versus Prescriptive Approaches
Models of Human Behavior and Performance
Traffic Control Via Congestion Pricing
Mental Models
Fundamental Limits
Economic PhenomenaMicroeconomics
Macroeconomics
Behavioral Economics
Economics of Healthcare Delivery
Social PhenomenaPhysics-Based Formulations
Network Theory
Game Theory
Simulation
Urban Resilience
Visualization of PhenomenaHuman Vision as a Phenomenon
Basics of Visualization
Purposes of Visualizations
Design Methodology
Example – Big Graphics and Little Screens
Visualization Tools
Immersion Lab
Policy Flight Simulators
Computational Methods and ToolsModeling Paradigms
Levels of Modeling
Representation to Computation
Model Composition
Computational Tools
Conclusions
Perspectives on Problem SolvingWhat is? Versus What if?
Case Studies
Observations on Problem Solving
Research Issues