{"product_id":"modeling-and-visualization-of-complex-systems-and-enterprises-isbn-9781118954133","title":"Modeling and Visualization of Complex Systems and Enterprises","description":"\u003cp\u003e\u003cb\u003eExplains multi-level models of enterprise systems and covers modeling methodology\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThis 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.\u003c\/p\u003e \u003cul\u003e \u003cli\u003ePresents a 10 step methodology for addressing questions associated with the design or operation of complex systems and enterprises\u003c\/li\u003e \u003cli\u003eExamines six archetypal enterprise problems including two from healthcare, two from urban systems, and one each from financial systems and defense systems\u003c\/li\u003e \u003cli\u003eProvides an introduction to the nature of complex systems, historical perspectives on complexity and complex adaptive systems, and the evolution of systems practice\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eModeling and Visualization of Complex Systems and Enterprises\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003ePreface xi\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction and Overview 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSystems Perspectives 2\u003c\/p\u003e \u003cp\u003eSystems Movement 3\u003c\/p\u003e \u003cp\u003ePhilosophical Background 3\u003c\/p\u003e \u003cp\u003eSeminal Concepts – Systems Science 5\u003c\/p\u003e \u003cp\u003eSeminal Concepts – Economics\/Cognition 6\u003c\/p\u003e \u003cp\u003eSeminal Concepts – Operations Research 7\u003c\/p\u003e \u003cp\u003eSeminal Concepts – Sociology 8\u003c\/p\u003e \u003cp\u003eComplexity and Complex Systems 8\u003c\/p\u003e \u003cp\u003eComplex Versus Complicated Systems 11\u003c\/p\u003e \u003cp\u003eSystems Practice 13\u003c\/p\u003e \u003cp\u003ePhenomena as the Starting Point 19\u003c\/p\u003e \u003cp\u003eOveview of Book 20\u003c\/p\u003e \u003cp\u003eChapter 1: Introduction and Overview 20\u003c\/p\u003e \u003cp\u003eChapter 2: Overall Methodology 21\u003c\/p\u003e \u003cp\u003eChapter 3: Perspectives on Phenomena 21\u003c\/p\u003e \u003cp\u003eChapter 4: Physical Phenomena 21\u003c\/p\u003e \u003cp\u003eChapter 5: Human Phenomena 21\u003c\/p\u003e \u003cp\u003eChapter 6: Economic Phenomena 22\u003c\/p\u003e \u003cp\u003eChapter 7: Social Phenomena 22\u003c\/p\u003e \u003cp\u003eChapter 8: Visualization of Phenomena 22\u003c\/p\u003e \u003cp\u003eChapter 9: Computational Methods and Tools 23\u003c\/p\u003e \u003cp\u003eChapter 10: Perspectives on Problem Solving 23\u003c\/p\u003e \u003cp\u003eReferences 23\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Overall Methodology 27\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 27\u003c\/p\u003e \u003cp\u003eProblem Archetypes 29\u003c\/p\u003e \u003cp\u003eDeterring or Identifying Counterfeit Parts 29\u003c\/p\u003e \u003cp\u003eFinancial Systems and Bursting Bubbles 30\u003c\/p\u003e \u003cp\u003eHuman Responses and Urban Resilience 30\u003c\/p\u003e \u003cp\u003eTraffic Control via Congestion Pricing 31\u003c\/p\u003e \u003cp\u003eImpacts of Investments in Healthcare Delivery 31\u003c\/p\u003e \u003cp\u003eHuman Biology and Cancer 31\u003c\/p\u003e \u003cp\u003eComparison of Problems 32\u003c\/p\u003e \u003cp\u003eMethodology 33\u003c\/p\u003e \u003cp\u003eSummary 35\u003c\/p\u003e \u003cp\u003eAn Example 36\u003c\/p\u003e \u003cp\u003eSupporting the Methodology 40\u003c\/p\u003e \u003cp\u003eConclusions 41\u003c\/p\u003e \u003cp\u003eReferences 41\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Perspectives on Phenomena 43\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 43\u003c\/p\u003e \u003cp\u003eDefinitions 43\u003c\/p\u003e \u003cp\u003eHistorical Perspectives 46\u003c\/p\u003e \u003cp\u003eSteam to Steamboats 46\u003c\/p\u003e \u003cp\u003eWind to Wings 47\u003c\/p\u003e \u003cp\u003eElectricity to Electric Lights 47\u003c\/p\u003e \u003cp\u003eMacro and Micro Physics 47\u003c\/p\u003e \u003cp\u003eProbability and Utility 48\u003c\/p\u003e \u003cp\u003eContemporary Perspectives 48\u003c\/p\u003e \u003cp\u003eFour Fundamental Forces 48\u003c\/p\u003e \u003cp\u003eComputational Fluid Dynamics 49\u003c\/p\u003e \u003cp\u003eIntegrated Circuit Design 49\u003c\/p\u003e \u003cp\u003eSupply Chain Management 50\u003c\/p\u003e \u003cp\u003eSummary 50\u003c\/p\u003e \u003cp\u003eTaxonomy of Phenomena 50\u003c\/p\u003e \u003cp\u003eBehavioral and Social Systems 52\u003c\/p\u003e \u003cp\u003eProblems versus Phenomena 54\u003c\/p\u003e \u003cp\u003eVisualizing Phenomena 54\u003c\/p\u003e \u003cp\u003eConclusions 58\u003c\/p\u003e \u003cp\u003eReferences 59\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Physical Phenomena 61\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 61\u003c\/p\u003e \u003cp\u003eNatural Phenomena 61\u003c\/p\u003e \u003cp\u003eExample – Human Biology 64\u003c\/p\u003e \u003cp\u003eExample – Urban Oceanography 67\u003c\/p\u003e \u003cp\u003eDesigned Phenomena 69\u003c\/p\u003e \u003cp\u003eExample – Vehicle Powertrain 73\u003c\/p\u003e \u003cp\u003eExample – Manufacturing Processes 75\u003c\/p\u003e \u003cp\u003eDeterring or Identifying Counterfeit Parts 76\u003c\/p\u003e \u003cp\u003eConclusions 80\u003c\/p\u003e \u003cp\u003eReferences 80\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Human Phenomena 83\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDescriptive Versus Prescriptive Approaches 84\u003c\/p\u003e \u003cp\u003eModels of Human Behavior and Performance 86\u003c\/p\u003e \u003cp\u003eExample – Manual Control 87\u003c\/p\u003e \u003cp\u003eExample – Problem Solving 89\u003c\/p\u003e \u003cp\u003eExample – Multitask Decision Making 90\u003c\/p\u003e \u003cp\u003eTraffic Control Via Congestion Pricing 92\u003c\/p\u003e \u003cp\u003eMental Models 95\u003c\/p\u003e \u003cp\u003eTeam Mental Models 99\u003c\/p\u003e \u003cp\u003ePerforming Arts Teams 101\u003c\/p\u003e \u003cp\u003eFundamental Limits 104\u003c\/p\u003e \u003cp\u003eConclusions 107\u003c\/p\u003e \u003cp\u003eReferences 107\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Economic Phenomena 111\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 111\u003c\/p\u003e \u003cp\u003eMicroeconomics 113\u003c\/p\u003e \u003cp\u003eTheory of the Firm 113\u003c\/p\u003e \u003cp\u003eTheory of the Market 114\u003c\/p\u003e \u003cp\u003eExample – Optimal Pricing 114\u003c\/p\u003e \u003cp\u003eExample – Investing in People 118\u003c\/p\u003e \u003cp\u003eSummary 119\u003c\/p\u003e \u003cp\u003eMacroeconomics 119\u003c\/p\u003e \u003cp\u003eTax Rates Interest Rates and Inflation 120\u003c\/p\u003e \u003cp\u003eMacroeconomic Models 126\u003c\/p\u003e \u003cp\u003eSummary 128\u003c\/p\u003e \u003cp\u003eBehavioral Economics 128\u003c\/p\u003e \u003cp\u003eProspect Theory 131\u003c\/p\u003e \u003cp\u003eRisk Perception 132\u003c\/p\u003e \u003cp\u003eAttribution Errors 133\u003c\/p\u003e \u003cp\u003eManagement Decision Making 134\u003c\/p\u003e \u003cp\u003eHuman Intuition 135\u003c\/p\u003e \u003cp\u003eIntuition versus Analysis 136\u003c\/p\u003e \u003cp\u003eSummary 137\u003c\/p\u003e \u003cp\u003eEconomics of Healthcare Delivery 137\u003c\/p\u003e \u003cp\u003eConclusions 139\u003c\/p\u003e \u003cp\u003eReferences 140\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Social Phenomena 143\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 143\u003c\/p\u003e \u003cp\u003eEmergent versus Designed Organizational Phenomena 143\u003c\/p\u003e \u003cp\u003eDirect versus Representative Political Phenomena 144\u003c\/p\u003e \u003cp\u003eModeling Complex Social Systems 145\u003c\/p\u003e \u003cp\u003eExample – Earth as a System 145\u003c\/p\u003e \u003cp\u003ePhysics-Based Formulations 149\u003c\/p\u003e \u003cp\u003eExample – Castes and Outcastes 151\u003c\/p\u003e \u003cp\u003eNetwork Theory 158\u003c\/p\u003e \u003cp\u003eGame Theory 162\u003c\/p\u003e \u003cp\u003eExample – Acquisition as a Game 165\u003c\/p\u003e \u003cp\u003eSimulation 168\u003c\/p\u003e \u003cp\u003eExample – Port and Airport Evacuation 170\u003c\/p\u003e \u003cp\u003eExample – Emergence of Cities 171\u003c\/p\u003e \u003cp\u003eUrban Resilience 172\u003c\/p\u003e \u003cp\u003eA Framework for Urban Resilience 173\u003c\/p\u003e \u003cp\u003eSummary 176\u003c\/p\u003e \u003cp\u003eConclusions 176\u003c\/p\u003e \u003cp\u003eReferences 176\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Visualization of Phenomena 179\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 179\u003c\/p\u003e \u003cp\u003eHuman Vision as a Phenomenon 180\u003c\/p\u003e \u003cp\u003eBasics of Visualization 180\u003c\/p\u003e \u003cp\u003eExample – Space Shuttle Challenger 181\u003c\/p\u003e \u003cp\u003ePurposes of Visualizations 183\u003c\/p\u003e \u003cp\u003eExamples – Co-Citation Networks and Mobile Devices 184\u003c\/p\u003e \u003cp\u003eDesign Methodology 185\u003c\/p\u003e \u003cp\u003eUse Case Illustrations 186\u003c\/p\u003e \u003cp\u003eExample – Big Graphics and Little Screens 190\u003c\/p\u003e \u003cp\u003eVisualization Tools 193\u003c\/p\u003e \u003cp\u003eData 195\u003c\/p\u003e \u003cp\u003eStructure 195\u003c\/p\u003e \u003cp\u003eDynamics 195\u003c\/p\u003e \u003cp\u003eImmersion Lab 196\u003c\/p\u003e \u003cp\u003ePolicy Flight Simulators 198\u003c\/p\u003e \u003cp\u003eBackground 198\u003c\/p\u003e \u003cp\u003eMultilevel Modeling 199\u003c\/p\u003e \u003cp\u003eExample – Employee Prevention and Wellness 200\u003c\/p\u003e \u003cp\u003ePeople’s Use of Simulators 203\u003c\/p\u003e \u003cp\u003eConclusions 205\u003c\/p\u003e \u003cp\u003eReferences 206\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Computational Methods and Tools 209\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 209\u003c\/p\u003e \u003cp\u003eModeling Paradigms 210\u003c\/p\u003e \u003cp\u003eDynamic Systems Theory 212\u003c\/p\u003e \u003cp\u003eControl Theory 214\u003c\/p\u003e \u003cp\u003eEstimation Theory 216\u003c\/p\u003e \u003cp\u003eQueuing Theory 217\u003c\/p\u003e \u003cp\u003eNetwork Theory 218\u003c\/p\u003e \u003cp\u003eDecision Theory 221\u003c\/p\u003e \u003cp\u003eProblem-Solving Theory 224\u003c\/p\u003e \u003cp\u003eFinance Theory 225\u003c\/p\u003e \u003cp\u003eSummary 228\u003c\/p\u003e \u003cp\u003eLevels of Modeling 228\u003c\/p\u003e \u003cp\u003eRepresentation to Computation 230\u003c\/p\u003e \u003cp\u003eDynamic Systems 230\u003c\/p\u003e \u003cp\u003eDiscrete-Event Systems 231\u003c\/p\u003e \u003cp\u003eAgent-Based Systems 231\u003c\/p\u003e \u003cp\u003eOptimization-Based Frame 231\u003c\/p\u003e \u003cp\u003eSummary 233\u003c\/p\u003e \u003cp\u003eModel Composition 233\u003c\/p\u003e \u003cp\u003eEntangled States 233\u003c\/p\u003e \u003cp\u003eConsistency of Assumptions 235\u003c\/p\u003e \u003cp\u003eObservations 236\u003c\/p\u003e \u003cp\u003eComputational Tools 236\u003c\/p\u003e \u003cp\u003eConclusions 237\u003c\/p\u003e \u003cp\u003eReferences 238\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Perspectives on Problem Solving 241\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 241\u003c\/p\u003e \u003cp\u003eWhat is? Versus What if? 242\u003c\/p\u003e \u003cp\u003eCase Studies 243\u003c\/p\u003e \u003cp\u003eBusiness Planning 243\u003c\/p\u003e \u003cp\u003eNew Product Planning 245\u003c\/p\u003e \u003cp\u003eTechnology Investments 248\u003c\/p\u003e \u003cp\u003eEnterprise Transformation 250\u003c\/p\u003e \u003cp\u003eObservations on Problem Solving 253\u003c\/p\u003e \u003cp\u003eStarting Assumptions 253\u003c\/p\u003e \u003cp\u003eFraming Problems 253\u003c\/p\u003e \u003cp\u003eImplementing Solutions 255\u003c\/p\u003e \u003cp\u003eResearch Issues 255\u003c\/p\u003e \u003cp\u003eDecomposition 256\u003c\/p\u003e \u003cp\u003eMapping 256\u003c\/p\u003e \u003cp\u003eScaling 257\u003c\/p\u003e \u003cp\u003eApproximation 257\u003c\/p\u003e \u003cp\u003eIdentification 257\u003c\/p\u003e \u003cp\u003eParameterization 258\u003c\/p\u003e \u003cp\u003ePropagation 258\u003c\/p\u003e \u003cp\u003eVisualization 259\u003c\/p\u003e \u003cp\u003eCuration 259\u003c\/p\u003e \u003cp\u003eConclusions 259\u003c\/p\u003e \u003cp\u003eReferences 261\u003c\/p\u003e \u003cp\u003eIndex 263\u003c\/p\u003e \u003cp\u003e\"The book 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.\" (\u003ci\u003eZentralblatt MATH\u003c\/i\u003e, 2016)\u003c\/p\u003e \u003cb\u003eWilliam B. Rouse, PhD.\u003c\/b\u003e, is the Alexander Crombie Humphreys Chair of Economics in Engineering at Stevens Institute of Technology, and Director of the university wide Center for Complex Systems and Enterprises. He is also Professor Emeritus of Industrial and Systems Engineering at the Georgia Institute of Technology. He is a member of the National Academy of Engineering. \u003cp\u003e\u003cb\u003eExplains multi-level models of enterprise systems and covers modeling methodology\u003cbr\u003e\u003cbr\u003e\u003c\/b\u003eThis 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.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003ePresents a 10 step methodology for addressing questions associated with the design or operation of complex systems and enterprises\u003c\/li\u003e \u003cli\u003eExamines six archetypal enterprise problems including two from healthcare, two from urban systems, and one each from financial systems and defense systems\u003c\/li\u003e \u003cli\u003eProvides an introduction to the nature of complex systems, historical perspectives on complexity and complex adaptive systems, and the evolution of systems practice\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003e\u003cbr\u003eModeling and Visualization of Complex Systems and Enterprises \u003c\/i\u003eis 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.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eWilliam B. Rouse, PhD.\u003c\/b\u003e, is the Alexander Crombie Humphreys Chair of Economics in Engineering at Stevens Institute of Technology, and Director of the university wide Center for Complex Systems and Enterprises. He is also Professor Emeritus of Industrial and Systems Engineering at the Georgia Institute of Technology. He is a member of the National Academy of Engineering.\u003c\/p\u003e \u003cbr\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989636792549,"sku":"NP9781118954133","price":134.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118954133.jpg?v=1761784905","url":"https:\/\/k12savings.com\/es\/products\/modeling-and-visualization-of-complex-systems-and-enterprises-isbn-9781118954133","provider":"K12savings","version":"1.0","type":"link"}