{"product_id":"decision-making-in-systems-engineering-and-management-9781119901402","title":"Decision Making in Systems Engineering and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eDECISION MAKING IN SYSTEMS ENGINEERING AND MANAGEMENT\u003c\/b\u003e \u003cp\u003e\u003cb\u003eA thoroughly updated overview of systems engineering management and decision making\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eIn the newly revised third edition of \u003ci\u003eDecision Making in Systems Engineering and Management\u003c\/i\u003e, the authors deliver a comprehensive and authoritative overview of the systems decision process, systems thinking, and qualitative and quantitative multi-criteria value modeling directly supporting decision making throughout the system lifecycle. This book offers readers major new updates that cover recently developed system modeling and analysis techniques and quantitative and qualitative approaches in the field, including effective techniques for addressing uncertainty. In addition to Excel, six new open-source software applications have been added to illustrate key topics, including SIPmath Modeler Tools, Cambridge Advanced Modeller, SystemiTool2.0, and Gephi 0.9.2. \u003c\/p\u003e\u003cp\u003eThe authors have reshaped the book's organization and presenta\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eList of Figures xiii\u003c\/p\u003e \u003cp\u003eList of Tables xxiii\u003c\/p\u003e \u003cp\u003e1 Working with Systems 1\u003c\/p\u003e \u003cp\u003e1.1 Introduction 1\u003c\/p\u003e \u003cp\u003e1.2 The Systems Engineering Perspective 7\u003c\/p\u003e \u003cp\u003e1.2.1 Systems Trends That Challenge System Engineers 8\u003c\/p\u003e \u003cp\u003e1.2.2 Fundamental Tasks of Systems Engineers 12\u003c\/p\u003e \u003cp\u003e1.2.3 Relationship of Systems Engineers to Other Engineering Disciplines 14\u003c\/p\u003e \u003cp\u003e1.2.4 Education, Training, and Knowledge of Systems Engineers 15\u003c\/p\u003e \u003cp\u003e1.3 Systems thinking 17\u003c\/p\u003e \u003cp\u003e1.4 System life cycles 20\u003c\/p\u003e \u003cp\u003e1.4.1 System life cycle model 23\u003c\/p\u003e \u003cp\u003e1.5 Other major system life cycle models 29\u003c\/p\u003e \u003cp\u003e1.6 Systems Decision Process (SDP) 34\u003c\/p\u003e \u003cp\u003e1.7 Stakeholders and Vested Interests 39\u003c\/p\u003e \u003cp\u003eReferences 47\u003c\/p\u003e \u003cp\u003e2 Applied Systems Thinking 51\u003c\/p\u003e \u003cp\u003e2.1 Holism Framing\u003c\/p\u003e \u003cp\u003eSystems 51\u003c\/p\u003e \u003cp\u003e2.1.1 Systems versus Analytic Thinking 54\u003c\/p\u003e \u003cp\u003e2.1.2 Check on Learning 56\u003c\/p\u003e \u003cp\u003e2.2 Element Dependencies 57\u003c\/p\u003e \u003cp\u003e2.2.1 Check on Learning 58\u003c\/p\u003e \u003cp\u003e2.3 Expansive and Contractive Thinking 59\u003c\/p\u003e \u003cp\u003e2.3.1 Check on Learning 60\u003c\/p\u003e \u003cp\u003e2.4 Structure 61\u003c\/p\u003e \u003cp\u003e2.5 Classifying Systems 68\u003c\/p\u003e \u003cp\u003e2.6 Boundaries 69\u003c\/p\u003e \u003cp\u003e2.7 Visibility and Spatial Arrangement 72\u003c\/p\u003e \u003cp\u003e2.7.1 Visibility 72\u003c\/p\u003e \u003cp\u003e2.7.2 Spatial Arrangement 74\u003c\/p\u003e \u003cp\u003e2.7.3 Check on Learning 76\u003c\/p\u003e \u003cp\u003e2.8 Evolution and Dynamics 77\u003c\/p\u003e \u003cp\u003eReferences 81\u003c\/p\u003e \u003cp\u003e3 System Representations 83\u003c\/p\u003e \u003cp\u003e3.1 Introduction 83\u003c\/p\u003e \u003cp\u003e3.2 System Model Concepts 84\u003c\/p\u003e \u003cp\u003e3.2.1 What Models Are 85\u003c\/p\u003e \u003cp\u003e3.2.2 Role of Models in Solution Design 86\u003c\/p\u003e \u003cp\u003e3.2.3 Qualities of useful models 87\u003c\/p\u003e \u003cp\u003e3.2.4 Building System Models 89\u003c\/p\u003e \u003cp\u003e3.2.5 Characteristics of models 95\u003c\/p\u003e \u003cp\u003e3.2.6 Exercise the Model 96\u003c\/p\u003e \u003cp\u003e3.2.7 Revise the model 97\u003c\/p\u003e \u003cp\u003e3.3 Systemigrams 98\u003c\/p\u003e \u003cp\u003e3.3.1 Systemigram Rules 99\u003c\/p\u003e \u003cp\u003e3.4 Directional Dependency (D2) Diagrams 102\u003c\/p\u003e \u003cp\u003e3.4.1 D2 diagrams into math representations 103\u003c\/p\u003e \u003cp\u003e3.5 DSM and DMM Models 107\u003c\/p\u003e \u003cp\u003e3.5.1 Dependency Structure Matrix (DSM) 108\u003c\/p\u003e \u003cp\u003e3.5.2 System Adjacency Matrices 114\u003c\/p\u003e \u003cp\u003e3.5.3 Check on Learning 120\u003c\/p\u003e \u003cp\u003e3.5.4 Domain Mapping Matrix (DMM) 120\u003c\/p\u003e \u003cp\u003e3.6 System Dynamics 122\u003c\/p\u003e \u003cp\u003e3.7 IDEF0 Models 129\u003c\/p\u003e \u003cp\u003e3.8 Simulation Modeling 138\u003c\/p\u003e \u003cp\u003e3.8.1 Analytical Methods versus Simulation 138\u003c\/p\u003e \u003cp\u003e3.8.2 Check on Learning 143\u003c\/p\u003e \u003cp\u003e3.9 Determining Simulation Sample Size 143\u003c\/p\u003e \u003cp\u003eReferences 147\u003c\/p\u003e \u003cp\u003e4 The Systems Decision Process 151\u003c\/p\u003e \u003cp\u003e4.1 Introduction 151\u003c\/p\u003e \u003cp\u003e4.2 Value versus Alternative Focused Thinking 151\u003c\/p\u003e \u003cp\u003e4.3 The SDP in Detail 154\u003c\/p\u003e \u003cp\u003e4.3.1 The System Environment 156\u003c\/p\u003e \u003cp\u003e4.3.2 When to Use the Systems Decision Process 159\u003c\/p\u003e \u003cp\u003e4.3.3 Check on Learning 161\u003c\/p\u003e \u003cp\u003e4.4 The Role of Stakeholders 164\u003c\/p\u003e \u003cp\u003eReferences 169\u003c\/p\u003e \u003cp\u003e5 Problem Definition 171\u003c\/p\u003e \u003cp\u003e5.1 Purpose of the Problem Definition Phase 171\u003c\/p\u003e \u003cp\u003e5.1.1 Comparison with Other Systems Engineering Processes 173\u003c\/p\u003e \u003cp\u003e5.2 Research and “What is?” 174\u003c\/p\u003e \u003cp\u003e5.2.1 Check on Learning 178\u003c\/p\u003e \u003cp\u003e5.3 Stakeholder Analysis 179\u003c\/p\u003e \u003cp\u003e5.3.1 Techniques for Stakeholder Analysis 181\u003c\/p\u003e \u003cp\u003e5.3.2 At Completion FCR\u003c\/p\u003e \u003cp\u003eMatrix 195\u003c\/p\u003e \u003cp\u003e5.4 Requirements Analysis 197\u003c\/p\u003e \u003cp\u003e5.4.1 Margins 201\u003c\/p\u003e \u003cp\u003e5.5 Functional Analysis 204\u003c\/p\u003e \u003cp\u003e5.6 Assessing System Readiness 213\u003c\/p\u003e \u003cp\u003e5.7 Initial Risk Assessment 218\u003c\/p\u003e \u003cp\u003e5.7.1 Risk identification 219\u003c\/p\u003e \u003cp\u003e5.7.2 Risk Mitigation 229\u003c\/p\u003e \u003cp\u003eReferences 231\u003c\/p\u003e \u003cp\u003e6 Value Modeling 235\u003c\/p\u003e \u003cp\u003e6.1 Introduction 235\u003c\/p\u003e \u003cp\u003e6.2 Qualitative Value Modeling 239\u003c\/p\u003e \u003cp\u003e6.2.1 Measures 242\u003c\/p\u003e \u003cp\u003e6.3 Quantitative Value Model 249\u003c\/p\u003e \u003cp\u003e6.3.1 Value Functions 251\u003c\/p\u003e \u003cp\u003e6.3.2 Value Increment Method 256\u003c\/p\u003e \u003cp\u003e6.3.3 Weighting Options 259\u003c\/p\u003e \u003cp\u003eReferences 275\u003c\/p\u003e \u003cp\u003e7 Solution Design 277\u003c\/p\u003e \u003cp\u003e7.1 Introduction 277\u003c\/p\u003e \u003cp\u003e7.2 Ideation Techniques 279\u003c\/p\u003e \u003cp\u003e7.2.1 Brainstorming 279\u003c\/p\u003e \u003cp\u003e7.2.2 Brainwriting 282\u003c\/p\u003e \u003cp\u003e7.2.3 Design Thinking 282\u003c\/p\u003e \u003cp\u003e7.2.4 Affinity Diagramming 284\u003c\/p\u003e \u003cp\u003e7.2.5 Delphi 285\u003c\/p\u003e \u003cp\u003e7.2.6 Groupware 287\u003c\/p\u003e \u003cp\u003e7.2.7 Lateral and Parallel Thinking and Six Thinking Hats 287\u003c\/p\u003e \u003cp\u003e7.2.8 Morphology 287\u003c\/p\u003e \u003cp\u003e7.2.9 EndsMeans\u003c\/p\u003e \u003cp\u003eChains 289\u003c\/p\u003e \u003cp\u003e7.2.10 Other Ideation Techniques 289\u003c\/p\u003e \u003cp\u003e7.3 Screening and Feasibility 291\u003c\/p\u003e \u003cp\u003e7.4 Improving Candidate Alternatives 296\u003c\/p\u003e \u003cp\u003e7.4.1 Design of Experiments 299\u003c\/p\u003e \u003cp\u003e7.4.2 Fractional factorial design 304\u003c\/p\u003e \u003cp\u003e7.4.3 Pareto analysis 312\u003c\/p\u003e \u003cp\u003eReferences 315\u003c\/p\u003e \u003cp\u003e8 Costing Systems 317\u003c\/p\u003e \u003cp\u003e8.1 Introduction 317\u003c\/p\u003e \u003cp\u003e8.2 Types of Costs 323\u003c\/p\u003e \u003cp\u003e8.3 Cost Estimating Techniques 324\u003c\/p\u003e \u003cp\u003e8.3.1 Estimating by Analogy 325\u003c\/p\u003e \u003cp\u003e8.3.2 Parametric Estimation Using Cost Estimating Relationships 326\u003c\/p\u003e \u003cp\u003e8.3.3 Learning Curves 339\u003c\/p\u003e \u003cp\u003e8.4 Time Effects on Cost 345\u003c\/p\u003e \u003cp\u003e8.4.1 Time Value of Money 345\u003c\/p\u003e \u003cp\u003e8.4.2 Inflation 346\u003c\/p\u003e \u003cp\u003e8.4.3 Net Present Value 348\u003c\/p\u003e \u003cp\u003e8.4.4 Breakeven Analysis and Replacement Analysis 350\u003c\/p\u003e \u003cp\u003eReferences 353\u003c\/p\u003e \u003cp\u003e9 Decision Making via Tradespace Analysis 355\u003c\/p\u003e \u003cp\u003e9.1 Introduction 355\u003c\/p\u003e \u003cp\u003e9.2 Tradespace Properties 358\u003c\/p\u003e \u003cp\u003e9.3 Scoring Solution Alternatives 360\u003c\/p\u003e \u003cp\u003e9.4 Scoring Options 363\u003c\/p\u003e \u003cp\u003e9.4.1 Candidate Systems Scoring 364\u003c\/p\u003e \u003cp\u003e9.4.2 Candidate Components Scoring 367\u003c\/p\u003e \u003cp\u003e9.5 Tradespace Analysis on Scoring Results 372\u003c\/p\u003e \u003cp\u003e9.5.1 Analyzing Sensitivity on Weights 377\u003c\/p\u003e \u003cp\u003e9.5.2 Sensitivity Analysis on Weights Using Excel 379\u003c\/p\u003e \u003cp\u003e9.6 Applying Valuefocused\u003c\/p\u003e \u003cp\u003eThinking 380\u003c\/p\u003e \u003cp\u003e9.6.1 Improving nonDominated\u003c\/p\u003e \u003cp\u003eAlternatives 384\u003c\/p\u003e \u003cp\u003e9.6.2 Improving Dominated Alternatives 385\u003c\/p\u003e \u003cp\u003e9.7 Supporting the Tradespace Decision 386\u003c\/p\u003e \u003cp\u003e9.8 Use valuefocused\u003c\/p\u003e \u003cp\u003ethinking to improve solutions 388\u003c\/p\u003e \u003cp\u003e9.8.1 Decision Analysis of Dependent Risks 389\u003c\/p\u003e \u003cp\u003e9.9 Reporting and Decision Handoff 392\u003c\/p\u003e \u003cp\u003e9.9.1 Developing the Report 392\u003c\/p\u003e \u003cp\u003e9.9.2 Developing the Presentation 393\u003c\/p\u003e \u003cp\u003e9.9.3 Presenting Analysis Results 394\u003c\/p\u003e \u003cp\u003e9.9.4 Concluding the Presentation 395\u003c\/p\u003e \u003cp\u003e9.9.5 Using a Storyline Approach 396\u003c\/p\u003e \u003cp\u003eReferences 399\u003c\/p\u003e \u003cp\u003e10 Stochastic Tradespace Analysis 401\u003c\/p\u003e \u003cp\u003e10.1 Introduction 401\u003c\/p\u003e \u003cp\u003e10.2 Uncertainty Concepts 403\u003c\/p\u003e \u003cp\u003e10.3 Flaw of Averages Considerations 406\u003c\/p\u003e \u003cp\u003e10.4 Uncertainty Distributions 409\u003c\/p\u003e \u003cp\u003e10.5 Monte Carlo Uncertainty Simulation 410\u003c\/p\u003e \u003cp\u003e10.6 Cost Uncertainty Modeling 413\u003c\/p\u003e \u003cp\u003e10.7 Realization Analysis 417\u003c\/p\u003e \u003cp\u003e10.7.1 Level 1 Analysis Choice\u003c\/p\u003e \u003cp\u003eSet Reduction 419\u003c\/p\u003e \u003cp\u003eReferences 429\u003c\/p\u003e \u003cp\u003e11 System Reliability 433\u003c\/p\u003e \u003cp\u003e11.1 Modeling System Reliability 433\u003c\/p\u003e \u003cp\u003e11.2 Math Models in Reliability 434\u003c\/p\u003e \u003cp\u003e11.2.1 Common Continuous Reliability Distributions 438\u003c\/p\u003e \u003cp\u003e11.2.2 Common Discrete Distributions 444\u003c\/p\u003e \u003cp\u003e11.2.3 Check on Learning 446\u003c\/p\u003e \u003cp\u003e11.3 Reliability Block Diagrams 446\u003c\/p\u003e \u003cp\u003e11.3.1 Series System 449\u003c\/p\u003e \u003cp\u003e11.3.2 Parallel System 454\u003c\/p\u003e \u003cp\u003e11.3.3 Combined Series and Parallel RBD 455\u003c\/p\u003e \u003cp\u003e11.3.4 Koutof\u003c\/p\u003e \u003cp\u003eN Systems 456\u003c\/p\u003e \u003cp\u003e11.3.5 Complex Systems 456\u003c\/p\u003e \u003cp\u003e11.4 Component Reliability Importance Measures 458\u003c\/p\u003e \u003cp\u003e11.4.1 Importance Measure for Series System 459\u003c\/p\u003e \u003cp\u003e11.4.2 Importance Measure for Parallel System 461\u003c\/p\u003e \u003cp\u003e11.4.3 Check on Learning 463\u003c\/p\u003e \u003cp\u003e11.5 Allocating and Improving Reliability 463\u003c\/p\u003e \u003cp\u003e11.5.1 Check on Learning 465\u003c\/p\u003e \u003cp\u003e11.6 Markov models of repairable systems 465\u003c\/p\u003e \u003cp\u003e11.6.1 Kolmogorov Differential Equations 466\u003c\/p\u003e \u003cp\u003e11.6.2 Transient Analysis 466\u003c\/p\u003e \u003cp\u003e11.6.3 Steady State Analysis 468\u003c\/p\u003e \u003cp\u003e11.6.4 CTMC Models of Repairable Systems 469\u003c\/p\u003e \u003cp\u003e11.6.5 Modeling Multiple Machine Problems 471\u003c\/p\u003e \u003cp\u003eReferences 477\u003c\/p\u003e \u003cp\u003e12 Solution Implementation 479\u003c\/p\u003e \u003cp\u003e12.1 Introduction 479\u003c\/p\u003e \u003cp\u003e12.2 Solution Implementation Phase 481\u003c\/p\u003e \u003cp\u003e12.3 The Initiating Process 483\u003c\/p\u003e \u003cp\u003e12.4 Planning 485\u003c\/p\u003e \u003cp\u003e12.5 Executing 488\u003c\/p\u003e \u003cp\u003e12.6 Monitoring and Controlling 489\u003c\/p\u003e \u003cp\u003e12.7 Closing 492\u003c\/p\u003e \u003cp\u003e12.8 Implementation During Life Cycle Stages 492\u003c\/p\u003e \u003cp\u003e12.8.1 Implementation in “Produce the System” 492\u003c\/p\u003e \u003cp\u003e12.8.2 Implementation in “Deploy the System” 494\u003c\/p\u003e \u003cp\u003e12.8.3 Implementation in “Operate the System” 496\u003c\/p\u003e \u003cp\u003e12.8.4 Check on Learning 499\u003c\/p\u003e \u003cp\u003eReferences 503\u003c\/p\u003e \u003cp\u003e13 EpilogueProfessional\u003c\/p\u003e \u003cp\u003ePractice 505\u003c\/p\u003e \u003cp\u003e13.1 Systems Engineering Activities 507\u003c\/p\u003e \u003cp\u003e13.2 Working with the systems development team 510\u003c\/p\u003e \u003cp\u003e13.3 Building an Interdisciplinary Team 513\u003c\/p\u003e \u003cp\u003e13.4 Systems engineering responsibilities 517\u003c\/p\u003e \u003cp\u003e13.5 Roles of the Systems Engineer 524\u003c\/p\u003e \u003cp\u003e13.6 Characteristics of the Ideal Systems Engineer 525\u003c\/p\u003e \u003cp\u003e13.7 Summary 526\u003c\/p\u003e \u003cp\u003eReferences 527\u003c\/p\u003e \u003cp\u003eAppendix A: Realization Analysis Levels 0 and 2 529\u003c\/p\u003e \u003cp\u003eA.1 Level 0 Analysis Refined\u003c\/p\u003e \u003cp\u003eChoice Set Identification 530\u003c\/p\u003e \u003cp\u003eA.2 Level 2 Analysis Postselection\u003c\/p\u003e \u003cp\u003eInsights 533\u003c\/p\u003e \u003cp\u003eReferences 537\u003c\/p\u003e \u003cp\u003eAppendix B: Software Fundamentals 539\u003c\/p\u003e \u003cp\u003eB.1 SystemiTool 539\u003c\/p\u003e \u003cp\u003eB.2 Cambridge Advanced Modeller (CAM) 540\u003c\/p\u003e \u003cp\u003eB.3 Mathematica 542\u003c\/p\u003e \u003cp\u003eB.4 Gephi 543\u003c\/p\u003e \u003cp\u003eB.5 Vensim PLE 544\u003c\/p\u003e \u003cp\u003eB.6 SIPmath 545\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":51039272075607,"sku":"9781119901402","price":107.96,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119901402.jpg?v=1750943123","url":"https:\/\/bookcurl.com\/products\/decision-making-in-systems-engineering-and-management-9781119901402","provider":"Book Curl","version":"1.0","type":"link"}