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Modeling and Visualization of Complex Systems and Enterprises: Explorations of Physical, Human, Economic, and Social Phenomena

Book Description

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.

    Table of Contents

    1. Cover
    2. Series
    3. Title Page
    4. Copyright
    5. Preface
    6. CHAPTER 1: INTRODUCTION AND OVERVIEW
      1. SYSTEMS PERSPECTIVES
      2. COMPLEXITY AND COMPLEX SYSTEMS
      3. COMPLEX VERSUS COMPLICATED SYSTEMS
      4. SYSTEMS PRACTICE
      5. PHENOMENA AS THE STARTING POINT
      6. OVEVIEW OF BOOK
      7. REFERENCES
    7. CHAPTER 2: OVERALL METHODOLOGY
      1. INTRODUCTION
      2. PROBLEM ARCHETYPES
      3. METHODOLOGY
      4. AN EXAMPLE
      5. SUPPORTING THE METHODOLOGY
      6. CONCLUSIONS
      7. REFERENCES
    8. CHAPTER 3: PERSPECTIVES ON PHENOMENA
      1. INTRODUCTION
      2. DEFINITIONS
      3. HISTORICAL PERSPECTIVES
      4. CONTEMPORARY PERSPECTIVES
      5. TAXONOMY OF PHENOMENA
      6. VISUALIZING PHENOMENA
      7. CONCLUSIONS
      8. REFERENCES
    9. CHAPTER 4: PHYSICAL PHENOMENA
      1. INTRODUCTION
      2. NATURAL PHENOMENA
      3. DESIGNED PHENOMENA
      4. DETERRING OR IDENTIFYING COUNTERFEIT PARTS
      5. CONCLUSIONS
      6. REFERENCES
    10. CHAPTER 5: HUMAN PHENOMENA
      1. DESCRIPTIVE VERSUS PRESCRIPTIVE APPROACHES
      2. MODELS OF HUMAN BEHAVIOR AND PERFORMANCE
      3. TRAFFIC CONTROL VIA CONGESTION PRICING
      4. MENTAL MODELS
      5. FUNDAMENTAL LIMITS
      6. CONCLUSIONS
      7. REFERENCES
    11. CHAPTER 6: ECONOMIC PHENOMENA
      1. INTRODUCTION
      2. MICROECONOMICS
      3. MACROECONOMICS
      4. BEHAVIORAL ECONOMICS
      5. ECONOMICS OF HEALTHCARE DELIVERY
      6. CONCLUSIONS
      7. REFERENCES
    12. CHAPTER 7: SOCIAL PHENOMENA
      1. INTRODUCTION
      2. PHYSICS-BASED FORMULATIONS
      3. NETWORK THEORY
      4. GAME THEORY
      5. SIMULATION
      6. URBAN RESILIENCE
      7. CONCLUSIONS
      8. REFERENCES
    13. CHAPTER 8: VISUALIZATION OF PHENOMENA
      1. INTRODUCTION
      2. HUMAN VISION AS A PHENOMENON
      3. BASICS OF VISUALIZATION
      4. PURPOSES OF VISUALIZATIONS
      5. DESIGN METHODOLOGY
      6. EXAMPLE – BIG GRAPHICS AND LITTLE SCREENS
      7. VISUALIZATION TOOLS
      8. IMMERSION LAB
      9. POLICY FLIGHT SIMULATORS
      10. CONCLUSIONS
      11. REFERENCES
    14. CHAPTER 9: COMPUTATIONAL METHODS AND TOOLS
      1. INTRODUCTION
      2. MODELING PARADIGMS
      3. LEVELS OF MODELING
      4. REPRESENTATION TO COMPUTATION
      5. MODEL COMPOSITION
      6. COMPUTATIONAL TOOLS
      7. CONCLUSIONS
      8. REFERENCES
    15. CHAPTER 10: PERSPECTIVES ON PROBLEM SOLVING
      1. INTRODUCTION
      2. WHAT IS? VERSUS WHAT IF?
      3. CASE STUDIES
      4. OBSERVATIONS ON PROBLEM SOLVING
      5. RESEARCH ISSUES
      6. CONCLUSIONS
      7. REFERENCES
    16. Index
    17. End User License Agreement