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Decision Making in Systems Engineering and Management -

Decision Making in Systems Engineering and Management

Buch | Hardcover
544 Seiten
2010 | 2nd edition
John Wiley & Sons Inc (Verlag)
978-0-470-90042-0 (ISBN)
CHF 219,95 inkl. MwSt
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Decision Making in Systems Engineering and Management is a comprehensive textbook that provides a logical process and analytical techniques for fact-based decision making for the most challenging systems problems.
Decision Making in Systems Engineering and Management is a  comprehensive textbook that provides a logical process and analytical techniques for fact-based decision making for the most challenging systems problems. Grounded in systems thinking and based on sound systems engineering principles, the systems decisions process (SDP) leverages multiple objective decision analysis, multiple attribute value theory, and value-focused thinking to define the problem, measure stakeholder value, design creative solutions, explore the decision trade off space in the presence of uncertainty, and structure successful solution implementation. In addition to classical systems engineering problems, this approach has been successfully applied to a wide range of challenges including personnel recruiting, retention, and management; strategic policy analysis; facilities design and management; resource allocation; information assurance; security systems design; and other settings whose structure can be conceptualized as a system. 

GREGORY S. PARNELL, PhD, has been Professor of Systems Engineering in the Department of Systems Engineering at the United States Military Academy at West Point since 1999. He has also taught at Virginia Commonwealth University and the Air Force Institute of Technology. Dr. Parnell is a Fellow of the International Committee for Systems Engineering. PATRICK J. DRISCOLL, PhD, has been Professor of Operations Research in the Department of Systems Engineering at the United States Military Academy since 2001. From 2004 to 2007 he held the USMA Transformation Chair, and was program director for systems engineering from 2004 to 2005. DALE L. HENDERSON, PhD, was an assistant professor in the Department of Systems Engineering at the United States Military Academy from 2005 to 2009. He is currently a Senior Military Analyst for the U.S. Army Training and Doctrine Command Analysis Center in Virginia.

Foreword to the Second Edition xvii

Foreword to the First Edition xix

Preface to the Second Edition xxi

Acknowledgments xxv

Thoughts for Instructors xxvii

Contributors xxxiii

Acronyms xli

1 Introduction 1
Gregory S. Parnell and Patrick J. Driscoll

1.1 Purpose 1

1.2 System 3

1.3 Stakeholders 3

1.4 System Life Cycle 7

1.5 Systems Thinking 10

1.6 Systems Engineering Thought Process 12

1.7 Systems Engineering 13

1.8 Engineering Management 15

1.9 Systems Decision Process 16

1.10 Overview 21

1.11 Exercises 21

References 23

Part I Systems Thinking 25

2 Systems Thinking 27
Patrick J. Driscoll

2.1 Introduction 27

2.2 Structure 32

2.3 Classification 33

2.4 Boundaries 35

2.5 Visibility 39

2.6 IDEF0 Models 40

2.7 Mathematical Structure 50

2.8 Spatial Arrangement 54

2.9 Evolution 58

2.10 Summary 58

2.11 Exercises 59

References 63

3 System Life Cycle 65
Patrick J. Driscoll and Paul Kucik

3.1 Introduction 65

3.2 System Life Cycle Model 68

3.2.1 Establish System Need 70

3.2.2 Develop System Concept 70

3.2.3 Design and Develop System 70

3.2.4 Produce System 71

3.2.5 Deploy System 72

3.2.6 Operate System 72

3.2.7 Retire System 73

3.3 Other Major System Life Cycle Models 74

3.4 Risk Management in the System Life Cycle 77

3.4.1 Risk Identification 78

3.4.2 Risk Assessment 83

3.4.3 Risk Mitigation 88

3.5 Summary 89

3.6 Exercises 90

References 92

4 Systems Modeling and Analysis 95
Paul D. West, John E. Kobza, and Simon R. Goerger

4.1 Introduction 95

4.2 Developing System Measures 96

4.3 Modeling the System Design 98

4.3.1 What Models Are 99

4.3.2 Why We Use Models 99

4.3.3 Role of Models in Solution Design 101

4.3.4 Qualities of Useful Models 102

4.4 The Modeling Process: How We Build Models 104

4.4.1 Create a Conceptual Model 105

4.4.2 Construct the Model 106

4.4.3 Exercise the Model 107

4.4.4 Revise the Model 108

4.5 The Model Toolbox: Types of Models, Their Characteristics, and Their Uses 109

4.5.1 Characteristics of Models 112

4.5.2 The Model Toolbox 114

4.6 Simulation Modeling 121

4.6.1 Analytical Solutions Versus Simulation; When It Is Appropriate to Use Simulation 122

4.6.2 Simulation Tools 123

4.7 Determining Required Sample Size 129

4.8 Summary 131

4.9 Exercises 132

References 134

5 Life Cycle Costing 137
Edward Pohl and Heather Nachtmann

5.1 Introduction to Life Cycle Costing 137

5.2 Introduction to Cost Estimating Techniques 139

5.2.1 Types of Costs 143

5.3 Cost Estimation Techniques 145

5.3.1 Estimating by Analogy Using Expert Judgment 145

5.3.2 Parametric Estimation Using Cost Estimating Relationships 146

5.3.3 Learning Curves 160

5.4 System Cost for Systems Decision Making 167

5.4.1 Time Value of Money 168

5.4.2 Inflation 168

5.4.3 Net Present Value 171

5.4.4 Breakeven Analysis and Replacement Analysis 172

5.5 Risk and Uncertainty in Cost Estimation 172

5.5.1 Monte Carlo Simulation Analysis 173

5.5.2 Sensitivity Analysis 177

5.6 Summary 178

5.7 Exercises 178

References 181

Part II Systems Engineering 183

6 Introduction to Systems Engineering 185
Gregory S. Parnell

6.1 Introduction 185

6.2 Definition of System and Systems Thinking 185

6.3 Brief History of Systems Engineering 186

6.4 Systems Trends that Challenge Systems Engineers 186

6.5 Three Fundamental Tasks of Systems Engineers 189

6.6 Relationship of Systems Engineers to Other Engineering Disciplines 192

6.7 Education, Training, and Knowledge of Systems Engineers 192

6.7.1 Next Two Chapters 193

6.8 Exercises 193

Acknowledgment 194

References 194

7 Systems Engineering in Professional Practice 197
Roger C. Burk

7.1 The Systems Engineer in the Engineering Organization 197

The Systems Engineering Job 199

Three Systems Engineering Perspectives 199

Organizational Placement of Systems Engineers 199

7.2 Systems Engineering Activities 200

Establish System Need 201

Develop System Concept 202

Design and Develop the System 202

Produce System 202

Deploy System 203

Operate System 203

Retire System 203

7.3 Working with the Systems Development Team 203

The SE and the Program Manager 203

The SE and the Client, the User, and the Consumer 203

The SE and the CTO or CIO 205

The SE and the Operations Researcher or System Analyst 205

The SE and the Configuration Manager 206

The SE and the Life Cycle Cost Estimator 206

The SE and the Engineering Manager 206

The SE and the Discipline Engineer 207

The SE and the Test Engineer 207

The SE and the Specialty Engineer 207

The SE and the Industrial Engineer 208

The SE and Quality Assurance 208

7.4 Building an Interdisciplinary Team 208

Team Fundamentals 208

Team Attitude 209

Team Selection 210

Team Life Cycle 210

Cross-Cultural Teams 211

7.5 Systems Engineering Responsibilities 212

Systems Engineering Management Plan (SEMP) 212

Technical Interface with Users and Consumers 213

Analysis and Management of Systems Requirements 213

System Architecting 216

Systems Engineering Tools and Formal Models 217

Interface Control Documents (ICDs) 218

Test and Evaluation Master Plan (TEMP) 218

Configuration Management (CM) 218

Specialty Engineering 218

Major Program Technical Reviews 220

System Integration and Test 221

7.6 Roles of the Systems Engineer 221

7.7 Characteristics of the Ideal Systems Engineer 222

7.8 Summary 223

7.9 Exercises 224

Acknowledgment 225

References 225

8 System Reliability 227
Edward Pohl

8.1 Introduction to System Effectiveness 227

8.2 Reliability Modeling 228

8.3 Mathematical Models in Reliability 229

8.3.1 Common Continuous Reliability Distributions 233

8.3.2 Common Discrete Distributions 242

8.4 Basic System Models 244

8.4.1 Series System 245

8.4.2 Parallel System 245

8.4.3 K-out-of-N Systems 247

8.4.4 Complex Systems 247

8.5 Component Reliability Importance Measures 249

8.5.1 Importance Measure for Series System 249

8.5.2 Importance Measure for Parallel System 250

8.6 Reliability Allocation and Improvement 250

8.7 Markov Models of Repairable Systems 253

8.7.1 Kolmogorov Differential Equations 253

8.7.2 Transient Analysis 254

8.7.3 Steady-State Analysis 256

8.7.4 CTMC Models of Repairable Systems 256

8.7.5 Modeling Multiple Machine Problems 258

8.7.6 Conclusions 263

8.8 Exercises 263

References 271

Part III Systems Decision Making 273

9 Systems Decision Process Overview 275
Gregory S. Parnell and Paul D. West

9.1 Introduction 275

9.2 Value-Focused Versus Alternative-Focused Thinking 276

9.3 Decision Quality 278

9.4 Systems Decision Process 280

9.5 Role of Stakeholders 282

9.6 Role of Decision Makers 283

9.7 Environment 284

9.8 Comparison with Other Processes 285

9.9 When to Use the Systems Decision Process 286

9.9.1 Need 289

9.9.2 Resources 289

9.9.3 Decision Maker and Stakeholder Support 289

9.10 Tailoring the Systems Decision Process 289

9.11 Example Use of the Systems Decision Process 290

9.12 Illustrative Example: Systems Engineering Curriculum Management System (CMS)—Summary and Introduction 290

9.13 Exercises 293

Acknowledgment 294

References 294

10 Problem Definition 297
Timothy Trainor and Gregory S. Parnell

10.1 Introduction 297

10.1.1 The Problem Definition Phase 298

10.1.2 Comparison with Other Systems Engineering Processes 299

10.1.3 Purpose of the Problem Definition Phase 300

10.1.4 Chapter Example 300

10.2 Research and Stakeholder Analysis 300

10.2.1 Techniques for Stakeholder Analysis 302

10.2.2 Stakeholder Analysis for the Rocket System Decision Problem 313

10.2.3 At Completion 314

10.3 Functional and Requirements Analyses 314

10.3.1 Terminology 315

10.3.2 Importance of Functional Analysis 315

10.3.3 Functional Analysis Techniques 316

10.3.4 Requirements Analysis 324

10.3.5 At Completion 325

10.4 Value Modeling 326

10.4.1 Definitions Used In Value Modeling 326

10.4.2 Qualitative Value Modeling 327

10.4.3 Quantitative Value Model 331

10.4.4 At Completion of Value Modeling 340

10.5 Output of the Problem Definition Phase 340

10.5.1 Discussion 340

10.5.2 Conclusion 341

10.6 Illustrative Example: Systems Engineering Curriculum Management System (CMS)—Problem Definition 341

10.7 Exercises 350

References 350

11 Solution Design 353
Paul D. West

11.1 Introduction to Solution Design 353

11.2 Survey of Idea Generation Techniques 355

11.2.1 Brainstorming 355

11.2.2 Brainwriting 358

11.2.3 Affinity Diagramming 358

11.2.4 Delphi 358

11.2.5 Groupware 361

11.2.6 Lateral and Parallel Thinking and Six Thinking Hats 361

11.2.7 Morphology 361

11.2.8 Ends–Means Chains 363

11.2.9 Existing or New Options 363

11.2.10 Other Ideation Techniques 363

11.3 Turning Ideas into Alternatives 365

11.3.1 Alternative Generation Approaches 365

11.3.2 Feasibility Screening 366

11.4 Analyzing Candidate Solution Costs 368

11.5 Improving Candidate Solutions 369

11.5.1 Modeling Alternatives 369

11.5.2 Simulating Alternatives 369

11.5.3 Design of Experiments 370

11.5.4 Fractional Factorial Design 376

11.5.5 Pareto Analysis 386

11.6 Summary 388

11.7 Illustrative Example: Systems Engineering Curriculum Management System (CMS)—Solution Design 388

11.8 Exercises 390

References 391

12 Decision Making 395
Michael J. Kwinn, Jr., Gregory S. Parnell, and Robert A. Dees

12.1 Introduction 395

12.2 Preparing to Score Candidate Solutions 396

12.2.1 Revised Problem Statement 396

12.2.2 Value Model 397

12.2.3 Candidate Solutions 397

12.2.4 Life Cycle Cost Model 397

12.2.5 Modeling and Simulation Results 397

12.2.6 Confirm Value Measure Ranges and Weights 397

12.3 Five Scoring Methods 398

12.3.1 Operations 398

12.3.2 Testing 398

12.3.3 Modeling 399

12.3.4 Simulation 399

12.3.5 Expert Opinion 399

12.3.6 Revisit Value Measures and Weights 400

12.4 Score Candidate Solutions or Candidate Components 400

12.4.1 Software for Decision Analysis 401

12.4.2 Candidate Solution Scoring and Value Calculation 402

12.4.3 Candidate Components Scoring and System Optimization 404

12.5 Conduct Sensitivity Analysis 409

12.5.1 Analyzing Sensitivity on Weights 410

12.5.2 Sensitivity Analysis on Weights Using Excel 411

12.6 Analyses of Uncertainty and Risk 412

12.6.1 Risk Analysis—Conduct Monte Carlo Simulation on Measure Scores 413

12.7 Use Value-Focused Thinking to Improve Solutions 417

12.7.1 Decision Analysis of Dependent Risks 419

12.8 Conduct Cost Analysis 423

12.9 Conduct Cost/Benefit Analysis 423

12.10 Decision-Focused Transformation (DFT) 424

12.10.1 Transformation Equations 425

12.10.2 Visual Demonstration of Decision-Focused Transformation 427

12.10.3 Cost/Benefit Analysis and Removal of Candidate Solutions 427

12.11 Prepare Recommendation Report and Presentation 432

12.11.1 Develop Report 433

12.11.2 Develop Presentation 434

12.12 Prepare for Solution Implementation 439

12.13 Illustrative Example: Systems Engineering Curriculum Management System (CMS)—Decision Making 439

12.13 Exercises 443

References 446

13 Solution Implementation 447
Kenneth W. McDonald and Daniel J. McCarthy

13.1 Introduction 447

13.2 Solution Implementation Phase 449

13.3 The Initiating Process 452

13.4 Planning 453

13.5 Executing 457

13.6 Monitoring and Controlling 458

13.7 Closing 461

13.8 Implementation During Life Cycle Stages 462

13.8.1 Implementation in “Produce the System” 462

13.8.2 Implementation in “Deploy the System” 464

13.8.3 Implementation in “Operate the System” 466

13.9 Exercises 474

References 475

14 Summary 477
Gregory S. Parnell

14.1 Systems Thinking—Key to Systems Decision Making 478

14.1.1 Systems Thinking Reveals Dynamic Behavior 478

14.1.2 The System Life Cycle Must Be Considered 478

14.1.3 Modeling and Simulation—Important Tools 479

14.1.4 The System Life Cycle Is a Key Risk Management Tool 479

14.1.5 Life Cycle Costing Is an Important Tool for Systems Engineering 479

14.2 Systems Engineers Play a Critical Role in the System Life Cycle 480

14.2.1 Systems Engineers Lead Interdisciplinary Teams to Obtain System Solutions that Create Value for Decision Makers and Stakeholders 480

14.2.2 Systems Engineers Convert Stakeholder Needs to System Functions and Requirements 480

14.2.3 Systems Engineers Define Value and Manage System Effectiveness 480

14.2.4 Systems Engineers Have Key Roles Throughout the System Life Cycle 481

14.3 A Systems Decision Process Is Required for Complex Systems Decisions 481

14.3.1 Problem Definition Is the Key to Systems Decisions 481

14.3.2 If We Want Better Decisions, We Need Better System Solution Designs 482

14.3.3 We Need to Identify the Best Value for the Resources 482

14.3.4 Solution Implementation Requires Planning, Executing, and Monitoring and Controlling 482

14.4 Systems Engineering Will Become More Challenging 483

Appendix A SDP Trade Space Concepts 485

Index 491

Erscheint lt. Verlag 19.11.2010
Reihe/Serie Wiley Series in Systems Engineering and Management ; 1
Verlagsort New York
Sprache englisch
Maße 163 x 234 mm
Gewicht 885 g
Themenwelt Technik Elektrotechnik / Energietechnik
ISBN-10 0-470-90042-3 / 0470900423
ISBN-13 978-0-470-90042-0 / 9780470900420
Zustand Neuware
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