Cover

Title Page

Contents

Foreword

Preface

Introduction

Chapter 1. Understanding Uncertainty

1.1. Uncertainty and reality

1.1.1. Awareness of uncertainty

1.1.2. Territories of uncertainty

1.1.3. Conclusion

1.2. Robustness and reliability

1.2.1. Robustness

1.2.2. Reliability

1.2.3. Relationship between robustness and reliability

1.2.4. Optimizing robustness and reliability

1.2.5. Conclusion

1.3. Designing for robust production

1.3.1. Robustness and lifecycles

1.3.2. Description of the V cycle

1.3.3. Uncertainty in the V cycle

1.3.4. Uncertainty linked to a step in the V cycle

1.3.5. Robustness and uncertainty

1.3.6. Conclusion

Chapter 2. Modeling Uncertainty

2.1. Random uncertainty

2.1.1. Modeling uncertainty

2.1.2. Exploration of Mediocristan

2.1.3. From statistics to probabilities

2.1.4. Polynomial chaos

2.1.5. Exploration of Extremistan

2.1.6. Conclusion

2.2. Uncertainty in behavior models

2.2.1. Uncertainty and input data

2.2.2. Uncertainty in behavior models

2.3. Uncertainty propagation

2.3.1. The problem of uncertainty propagation

2.3.2. Analyzing sensitivity to uncertainty

2.3.3. Reliability analysis – classification methods

2.3.4. Model reductions

2.3.5. Quantifying uncertainty

2.3.6. Conclusion

Chapter 3. Decision Support under Uncertainty

3.1. Decision support in design

3.1.1. Decision support

3.1.2. Modeling decision support

3.1.3. Multi-criteria decision analysis (MCDA)

3.1.4. Conclusion

3.2. Summary and conclusion

3.2.1. Three perspectives

3.2.2. Challenges in engineering science

3.2.3. Industrial issues

Bibliography

Index