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Informationen zum Autor Patrick J. Driscoll, PhD, is a Professor Emeritus of Operations Research and in the Department of Systems Engineering at the United States Military Academy. He was lead author and editor for the 3rd edition of Decision Making in Systems Engineering and Management. He has over 30 years' experience teaching systems engineering, mathematics, and operational topics and is the former USMA Transformation Chair, Deputy Department Head, and Program Director for Systems Engineering.Gregory S. Parnell, PhD, is a Professor of Practice in the Department of Industrial Engineering at the University of Arkansas and Director, System Design and Analytics Laboratory (SyDL), and Director of the M.S. in Operations Management and M.S. In Engineering Management programs. He previously taught at the United States Military Academy, the U.S. Air Force Academy, the Virginia Commonwealth University, and the Air Force Institute of Technology.Dale L. Henderson, PhD, is a Principal Research Scientist at Amazon and former Assistant Professor in the Department of Systems Engineering at the United States Military Academy. Klappentext A thoroughly updated overview of systems engineering management and decision makingIn the newly revised third edition of Decision Making in Systems Engineering and Management, 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.The authors have reshaped the book's organization and presentation to better support educators engaged in remote learning. New appendices have been added to present extensions for a new realization analysis technique and getting started steps for each of the major software applications. Updated illustrative examples support modern system decision making skills and highlight applications in hardware, organizations, policy, logistic supply chains, and architecture.Readers will also find:* Thorough introductions to working with systems, the systems engineering perspective, and systems thinking* In-depth presentations of applied systems thinking, including holism, element dependencies, expansive and contractive thinking, and concepts of structure, classification, and boundaries* Comprehensive explorations of system representations leading to analysis* In-depth discussions of supporting system decisions, including the system decision process (SDP), tradespace methods, multi-criteria value modeling, working with stakeholders, and the system environmentPerfect for undergraduate and graduate students studying systems engineering and systems engineering management, Decision Making in Systems Engineering and Management will also earn a place in the libraries of practicing system engineers and researchers with an interest in the topic. Zusammenfassung DECISION MAKING IN SYSTEMS ENGINEERING AND MANAGEMENTA thoroughly updated overview of systems engineering management and decision makingIn the newly revised third edition of Decision Making in Systems Engineering and Management, 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...
List of contents
List of Figures xiii
List of Tables xxiii
1 Working with Systems 1
1.1 Introduction 1
1.2 The Systems Engineering Perspective 7
1.2.1 Systems Trends That Challenge System Engineers 8
1.2.2 Fundamental Tasks of Systems Engineers 12
1.2.3 Relationship of Systems Engineers to Other Engineering Disciplines 14
1.2.4 Education, Training, and Knowledge of Systems Engineers 15
1.3 Systems thinking 17
1.4 System life cycles 20
1.4.1 System life cycle model 23
1.5 Other major system life cycle models 29
1.6 Systems Decision Process (SDP) 34
1.7 Stakeholders and Vested Interests 39
References 47
2 Applied Systems Thinking 51
2.1 Holism Framing
Systems 51
2.1.1 Systems versus Analytic Thinking 54
2.1.2 Check on Learning 56
2.2 Element Dependencies 57
2.2.1 Check on Learning 58
2.3 Expansive and Contractive Thinking 59
2.3.1 Check on Learning 60
2.4 Structure 61
2.5 Classifying Systems 68
2.6 Boundaries 69
2.7 Visibility and Spatial Arrangement 72
2.7.1 Visibility 72
2.7.2 Spatial Arrangement 74
2.7.3 Check on Learning 76
2.8 Evolution and Dynamics 77
References 81
3 System Representations 83
3.1 Introduction 83
3.2 System Model Concepts 84
3.2.1 What Models Are 85
3.2.2 Role of Models in Solution Design 86
3.2.3 Qualities of useful models 87
3.2.4 Building System Models 89
3.2.5 Characteristics of models 95
3.2.6 Exercise the Model 96
3.2.7 Revise the model 97
3.3 Systemigrams 98
3.3.1 Systemigram Rules 99
3.4 Directional Dependency (D2) Diagrams 102
3.4.1 D2 diagrams into math representations 103
3.5 DSM and DMM Models 107
3.5.1 Dependency Structure Matrix (DSM) 108
3.5.2 System Adjacency Matrices 114
3.5.3 Check on Learning 120
3.5.4 Domain Mapping Matrix (DMM) 120
3.6 System Dynamics 122
3.7 IDEF0 Models 129
3.8 Simulation Modeling 138
3.8.1 Analytical Methods versus Simulation 138
3.8.2 Check on Learning 143
3.9 Determining Simulation Sample Size 143
References 147
4 The Systems Decision Process 151
4.1 Introduction 151
4.2 Value versus Alternative Focused Thinking 151
4.3 The SDP in Detail 154
4.3.1 The System Environment 156
4.3.2 When to Use the Systems Decision Process 159
4.3.3 Check on Learning 161
4.4 The Role of Stakeholders 164
References 169
5 Problem Definition 171
5.1 Purpose of the Problem Definition Phase 171
5.1.1 Comparison with Other Systems Engineering Processes 173
5.2 Research and "What is?" 174
5.2.1 Check on Learning 178
5.3 Stakeholder Analysis 179
5.3.1 Techniques for Stakeholder Analysis 181
5.3.2 At Completion FCR
Matrix 195
5.4 Requirements Analysis 197
5.4.1 Margins 201
5.5 Functional Analysis 204
5.6 Assessing System Readiness 213
5.7 Initial Risk Assessment 218
5.7.1 Risk identification 219
5.7.2 Risk Mitigation 229
References 231
6 Value Modeling 235
6.1 Introduction 235
6.2 Qualitative Value Modeling 239
6.2.1 Measures 242
6.3 Quantitative Value Model 249<
