Understanding Complex Systems Phenomena, Representations, Computation and Visualization

Explains multi–level models of enterprise systems and coversmodeling methodology This book addresses the essential phenomena underlying theoverall behaviors of complex systems and enterprises. Understanding these phenomena can enable improving these systems.These phenomena range from physical, behavioral, andorganizational, to economic and social, all of which involvesignificant human components. Specific phenomena of interest andhow they are represented depend on the questions of interest andthe relevant domains or contexts. Modeling and Visualization ofComplex Systems and Enterprises examines visualization of phenomenaand how understanding the relationships among phenomena can providethe basis for understanding where deeper exploration is warranted.The author also reviews mathematical and computational models,defined very broadly across disciplines, which can enable deeperunderstanding. Presents a 10 step methodology for addressingquestions associated with the design or operation of complexsystems and enterprises Examines six archetypal enterprise problemsincluding two from healthcare, two from urban systems, and one eachfrom financial systems and defense systems Provides an introduction to the nature of complexsystems, historical perspectives on complexity and complex adaptivesystems, and the evolution of systems practice Modeling and Visualization of Complex Systems andEnterprises is written for graduate students studying systemsscience and engineering and professionals involved in systemsscience and engineering, those involved in complex systems such ashealthcare delivery, urban systems, sustainable energy, financialsystems, and national security. INDICE: Preface.Chapter 1: Introduction & Overview.Systems Perspectives.Systems Movement.Philosophical Background.Seminal Concepts.System Science.Economics/Cognition.Operations Research.Sociology.Complexity and Complex Systems.Complex vs. Complicated.Systems Practice.Phenomena as a Starting Point.Overview of Book.Chapter 2: Overall Methodology.Introduction.Problem Archetypes.Deterring or Identifying Counterfeit Parts.Financial Systems and Bursting Bubbles.Human Responses and Urban Resilience.Traffic Control via Congestion Pricing.Impacts of Investments in Healthcare Delivery.Human Biology and Cancer.Comparison of Problems.Methodology.Step 1: Decide on the Central Questions of Interest.Step 2: Define Key Phenomena Underlying These Questions.Step 3: Develop One or More Visualizations of Relationships Among Phenomena.Step 4: Determine Key Tradeoffs That Appear to Warrant Deeper Exploration.Step 5: Identify Alternative Representations of These Phenomena.Step 6: Assess the Ability to Connect Alternative Representations.Step 7: Determine a Consistent Set of Assumptions.Step 8: Identify Data Sets to Support Parameterization.Step 9: Program and Verify Computational Instantiations.Step 10: Validate Model Predictions, at Least Against Baseline Data.Summary.An Example.Supporting the Methodology.Conclusions.Chapter 3: Perspectives on Phenomena.Introduction.Definitions.Historical Perspectives.Steam to Steamboats.Wind to Wings.Electricity to Electric Lights.Macro and Micro Physics.Probability and Utility.Contemporary Perspectives.Four Fundamental Forces.Computational Fluid Dynamics.Integrated Circuit Design.Supply Chain Management.Summary.Taxonomy of Phenomena.Behavioral and Social Systems.Problems vs. Phenomena.Visualizing Phenomena.Conclusions.Chapter 4: Physical Phenomena.Introduction.Natural Phenomena.Example –– Human Biology.Example –– Urban Oceanography.Designed Phenomena.Example Vehicle Powertrain.Example Manufacturing Processes.Deterring or Identifying Counterfeit Parts.Conclusions.Chapter 5: Human Phenomena.Introduction.Descriptive vs. Prescriptive Approaches.Models of Human Behavior and Performance.Example Manual Control.Example Problem Solving.Example Multi–Task Decision Making.Traffic Control via Congestion Pricing.Mental Models.Team Mental Models.Performing Arts Teams.Fundamental Limits.Conclusions.Chapter 6: Economic Phenomena.Introduction.Microeconomics.Theory of the Firm.Theory of the Market.Example Optimal Pricing.Example Investing in People.Summary.Macroeconomics.Taxes, Interest Rates, and Inflation.Macroeconomic Models.Summary.Behavioral Economics.Prospect Theory.Risk Perception.Attribution Errors.Management Decision Making.Human Intuition.Intuition vs. Analysis.Economics of Healthcare Delivery.Conclusions.Chapter 7: Social Phenomena.Introduction.Emergent vs. Designed Organizational Phenomena.Direct vs. Representative Political Phenomena.Modeling Complex Social Systems.Example Earth as a System.Physics–Based Formulations.Example Castes and Outcastes.Network Theory.Game Theory.Example Acquisition as a Game.Simulation.Example Port and Airport Evacuation.Example Emergence of Cities.Urban Resilience.A Framework for Urban Resilience.Summary.Conclusions.Chapter 8: Visualization of Phenomena.Introduction.Human Visions as a Phenomenon.Basics of Visualization.Example –– Space Shuttle Challenger.Purposes of Visualization.Examples Co–Citation Networks and Mobile Devices.Design Methodology.Example Big Graphics and Little Screens.Visualization Tools.Immersion Lab.Policy Flight Simulators.Background.Multi–Level Modeling.Example Employee Prevention and Wellness.People s Use of Simulators.Conclusions.Chapter 9: Computational Methods & Tools.Introduction.Modeling Paradigms.Dynamic Systems Theory.Control Theory.Estimation Theory.Queuing Theory.Network Theory.Decision Theory.Problem Solving Theory.Finance Theory.Summary.Levels of Modeling.Representation to Computation.Model Composition.Entangled State.Consistency of Assumptions.Observations.Computational Tools.Conclusions.Chapter 10: Perspectives on Problem Solving.Introduction.What Is? Vs. What If?.Case Studies.Business Planning.Products vs. Services.Defense Conversion.R&D as a Service.Academic Strategies.New Product Planning.Automobile Engine.Microprocessors.Digital Signal Processor.Medical Imaging System.Technology Investments.MRAM.Optical Computing.Unmanned Air Vehicles.Licensing Technology.Enterprise Transformation.Value Opportunities.Value Deficiencies.Population Health.Affordable Care Act.Observations on Problem Solving.Starting Assumptions.Framing Problems.Implementing Solutions.Research Issues.Decomposition.Mapping.Scaling.Approximation.Identification.Parameterization.Propagation.Visualization.Curation.Conclusions

• ISBN: 978-1-118-95413-3
• Editorial: Wiley–Blackwell
• Encuadernacion: Cartoné
• Páginas: 304
• Fecha Publicación: 05/06/2015
• Nº Volúmenes: 1
• Idioma: Inglés