Knowledge in Risk Assessment and Management

Author: Terje Aven; Enrico Zio  

Publisher: Wiley‎

Publication year: 2017

E-ISBN: 9781119317883

P-ISBN(Hardback):  9781119317890

Subject: F8 Finances

Keyword: 财政、金融

Language: ENG

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Description

Exciting new developments in risk assessment and management

Risk assessment and management is fundamentally founded on the knowledge available on the system or process under consideration. While this may be self-evident to the laymen, thought leaders within the risk community have come to recognize and emphasize the need to explicitly incorporate knowledge (K) in a systematic, rigorous, and transparent framework for describing and modeling risk.

Featuring contributions by an international team of researchers and respected practitioners in the field, this book explores the latest developments in the ongoing effort to use risk assessment as a means for characterizing knowledge and/or lack of knowledge about a system or process of interest. By offering a fresh perspective on risk assessment and management, the book represents a significant contribution to the development of a sturdier foundation for the practice of risk assessment and for risk-informed decision making.

How should K be described and evaluated in risk assessment? How can it be reflected and taken into account in formulating risk management strategies? With the help of numerous case studies and real-world examples, this book answers these and other critical questions at the heart of modern risk assessment, while identifying many practical challenges associated with this explicit framework. 

This book, written by international scholars and leaders in the field, and edited to ma

Chapter

1.5 Useof the Risk Assessment

1.6 Discussion

1.7 Conclusions

Acknowledgements

References

Chapter 2 The Enigma of Knowledge in the Risk Field

2.1 Introduction

2.2 Introduction to Case Studies

2.3 Perspectives on Knowledge

2.4 Discussion – New Insights for the Risk Analysis Field

2.5 Conclusions

Acknowledgements

References

Chapter 3 Treatment and Communication of Uncertain Assumptions in (Semi-)quantitative Risk Assessments

3.1 Introduction

3.2 A Formal Setup Connecting Risk and Related Concepts

3.3 Example

3.4 Systematising Uncertain Assumptions

3.5 Uncertain Assumptions in Risk Assessments: The Risk Analyst Perspective

3.6 Communicating Uncertain Assumptions

3.7 Uncertain Assumptions in Risk Management: The Risk Manager Perspective

3.8 Discussion and Concluding Remarks

Acknowledgements

References

Chapter 4 Critical Slowing-down Framework for Monitoring Early Warning Signs of Surprise and Unforeseen Events

4.1 Introduction

4.2 System Dynamics and Critical Slowing‐down Signals

4.3 EWS-SUE Monitoring Framework

4.4 Illustrative Examples

4.5 Some Reflections on Illustrative Examples

4.6 Summary and Conclusions

References

Chapter 5 Improving the Foundation and Practice of Uncertainty Analysis: Strengthening Links to Knowledge and Risk

5.1 Introduction

5.2 The Uncertainty Analysis Framework

5.3 Use of the Framework: An Example

5.4 Discussion

5.5 Conclusions

Acknowledgements

References

Chapter 6 Completeness Uncertainty: Conceptual Clarification and Treatment

6.1 Introduction

6.2 Completeness Uncertainty in Detail

6.3 Understanding and Treating “Completeness Uncertainty”

6.4 Risk Sources as Model Uncertainty

6.5 Discussion

6.6 Conclusion

Acknowledgements

References

Chapter 7 Quality of Risk Assessment: Definition and Verification

7.1 Introduction

7.2 Example

7.3 Theoretical Formulation of the Challenge

7.4 Reliability and Validity Issues

7.5 Knowledge Issues

7.6 Discussion

7.7 Conclusions

Acknowledgements

References

Chapter 8 Knowledge-driven System Simulation for Scenario Analysis in Risk Assessment

8.1 Introduction

8.2 Problem Statement

8.3 State of the Art

8.4 Proposed Approaches

8.5 Conclusions

References

Appendix 8.A

Part II Risk Assessment and Decision Making

Chapter 9 A Decision Support Method for Prioritizing Investments Subject to Uncertainties

9.1 Introduction

9.2 Set-up

9.3 Method

9.4 Example

9.5 Discussion

9.6 Conclusions

References

Chapter 10 Risk Analysis under Structural Uncertainty

10.1 Introduction

10.2 The Ten Components of Structuring

10.3 Discussion

10.4 Conclusion

References

Part III Applications

Chapter 11 A Practical Approach to Risk Assessments from Design to Operation of Offshore Oil and Gas Installations

11.1 Introduction

11.2 Example Case

11.3 The Traditional Approach

11.4 The Alternative Approach

11.5 Input to Evaluation in Design, Operation and Barrier Management

11.6 Discussion

11.7 Conclusions

Acknowledgements

References

Chapter 12 A Semi-quantitative Approach for Assessment of Risk Trends in the Norwegian Oil and Gas Industry

12.1 Introduction

12.2 Review of Trend Detection Method

12.3 Discussion of the Current Trend Detection Method

12.4 A Semi-quantitative Approach for Assessment of Risk Trends

12.5 Example: Application of the Extended Approach

12.6 Conclusions

Acknowledgements

References

Chapter 13 Knowledge Engineering at a Risk-informed Regulatory Agency: Challenges and Suggestions

Acronyms and Abbreviations

13.1 Introduction

13.2 Risk-related KE Challenges from a User’s Perspective

13.3 The Promise of Advancing Technology

13.4 A Recent Exploration

13.5 Conclusions and Suggestions for Future Developments

Acknowledgements

References

Index

EULA

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