Learning from Failures :Decision Analysis of Major Disasters

Publication subTitle :Decision Analysis of Major Disasters

Author: Labib   Ashraf  

Publisher: Elsevier Science‎

Publication year: 2014

E-ISBN: 9780124167308

P-ISBN(Paperback): 9780124167278

P-ISBN(Hardback):  9780124167278

Subject: O6 Chemistry

Language: ENG

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Description

Learning from Failures provides techniques to explore the root causes of specific disasters and how we can learn from them. It focuses on a number of well-known case studies, including: the sinking of the Titanic; the BP Texas City incident; the Chernobyl disaster; the NASA Space Shuttle Columbia accident; the Bhopal disaster; and the Concorde accident. This title is an ideal teaching aid, informed by the author’s extensive teaching and practical experience and including a list of learning outcomes at the beginning of each chapter, detailed derivation, and many solved examples for modeling and decision analysis.

This book discusses the value in applying different models as mental maps to analyze disasters. The analysis of these case studies helps to demonstrate how subjectivity that relies on opinions of experts can be turned into modeling approaches that can ensure repeatability and consistency of results. The book explains how the lessons learned by studying these individual cases can be applied to a wide range of industries.

This work is an ideal resource for undergraduate and postgraduate students, and will also be useful for industry professionals who wish to avoid repeating mistakes that resulted in devastating consequences.

  • Explores the root cause of disasters and various preventative measures
  • Links theory with practice in regard to risk, safety, and reliability analyses
  • Uses analytical techniques originating from rel

Chapter

1.2 Why Learning from Failures?

1.3 The Background of This Book

1.4 Who Should Use This Book

1.5 Introduction to the Concept of Learning from Failures

1.6 Taxonomy of Theories

1.6.1 Learning from Case Studies Versus the Narrative Fallacy Concept

1.6.2 Learning from Hindsight Rewards Versus Risk Aversion

1.6.3 Specific Versus Generic Lessons

1.6.4 High Reliability Theory Versus Normal Accidents Theory

1.6.5 Reliability Versus Safety

1.6.6 Concluding Remarks on Theories Related to Learning from Failures

1.7 Case Studies

1.7.1 Choice of Case Studies and Research Methodology

1.7.2 Types of Recommendations

1.8 Critical Commentary Section

2 Introduction to Failure Analysis Techniques in Reliability Modeling

2.1 Introduction

2.2 FTA and RBD

2.3 Example: A Storage Tank

2.4 A Simple Illustrative Application Case (A Car Accident)

3 Introduction to the Analytic Hierarchy Process

3.1 Introduction

3.2 An Overview of the Analytical Hierarchy Process

3.2.1 Problem Modeling

3.2.2 Pair-wise Comparisons

3.2.3 Judgment Scales

3.2.4 Priorities Derivation

3.2.5 Consistency

3.2.6 Sensitivity Analysis

3.3 Conclusion and Future Developments

2 A–Z of Disastrous Case Studies

4 Bhopal Disaster—Learning from Failures and Evaluating Risk

4.1 Introduction

4.2 Bhopal Narrative and the Incorporation of FTA and RBD

4.2.1 Introduction

4.2.1.1 Background

4.2.1.2 Installation

4.2.1.3 Precursors Leading to the Disaster

4.2.2 Direct Causes of the Accident

4.3 Theory/Calculation

4.4 Discussion

4.5 Concluding Remarks

4.6 Critical Commentary Section

5 BP Deepwater Horizon

5.1 Case Study Deepwater Horizon

5.1.1 Background to the Disaster

5.1.2 Technical Cause of the Failure

5.1.2.1 Poor Design of Cement Barrier

5.1.2.2 Mechanical Failure of the BOP

5.1.2.3 Damage of Control Cables

5.1.2.4 Fire and Gas System

5.1.3 Consequences and Severity

5.1.3.1 Fatalities and Injuries

5.1.3.2 Environmental Impact

5.2 Analysis of First Group of Students

5.2.1 The Technical Reasons

5.2.2 The Design and Safety Reasons

5.2.3 Financial and Organizational Factors

5.2.4 Fault Tree Analysis

5.2.5 Reliability Block Diagram

5.2.6 Recommendations and Reliability Improvement

5.2.6.1 Technical Recommendations

5.2.6.2 Management and Financial Recommendations

5.3 Analysis of Second Group of Students

5.3.1 Summary of the Technical Cause of the Disaster

5.3.2 Lessons Learned

5.4 Analysis of Third Group of Students

5.4.1 Technical Cause of the Disaster

5.4.2 Lessons Learned

5.5 Feedback and Generic Lessons

5.6 Critical Commentary Section

6 BP Texas City Disaster

6.1 What Happened

6.2 The Process

6.3 Sequence of Events and Incident

6.4 Investigation

6.5 Fault Tree Analysis and Reliability Block Diagram for the Texas City Disaster

6.6 Generic Lessons

6.7 Critical Commentary Section

7 Chernobyl Disaster

7.1 Introduction

7.2 What Happened

7.3 The Technical and Logic of the Failure

7.4 Causes of the Incident

7.5 Fault Tree Analysis and Reliability Block Diagram for the Disaster

7.6 Generic Lessons and Proposed Improvements

7.7 Critical Commentary Section

8 The Concorde Crash

Notation

8.1 Introduction

8.2 The Accident

8.2.1 A History of Problems

8.2.2 Options for Improvement

8.3 Theory and Use of γ Analysis (Modified FMEA)

8.4 Application of the AHP to the Concorde Accident

8.4.1 Step 1: γ Analysis

8.4.2 Step 2: Construction of the Hierarchy

8.4.3 Step 3: Making Judgments

8.4.4 Step 4: Synthesis of Results with Respect to the Goal

8.5 Analysis of Results

8.6 Conclusion

8.7 Critical Commentary Section

9 Fukushima Nuclear Disaster

9.1 Brief Introduction

9.1.1 The Evolutionary of the Disaster

9.1.2 The Consequences of the Failure

9.1.3 The Japanese Nuclear Industry

9.1.4 Some Basic Information About Risk Assessment in Nuclear Industry

9.2 Analysis of First Group of Delegates

9.2.1 Technical Background

9.2.2 The Cooling Water System

9.2.3 Overview of the Disaster

9.2.4 Analysis of Contributory Factors

9.2.4.1 The Basis of the Design

9.2.4.2 The Cooling Water System

9.2.4.3 The Emergency Response

9.2.5 Fault Tree

9.2.6 Discussion of First Group of Delegates

9.2.7 Conclusion of First Group of Delegates

9.3 Analysis of Second Group of Delegates

9.3.1 The Analytic Hierarchy Process

9.3.2 Design Evaluation of the Fukushima Nuclear Plant

9.3.3 BWR Design for Mitigation of Abnormal Conditions

9.3.4 The Cooling System Design

9.3.4.1 Power Supply

9.3.4.2 Pump Redundancy and Diversity

9.3.4.3 Redundant Water Sources

9.3.5 Design Against Earthquakes and Tsunamis

9.3.6 Exploring the Incident

9.3.7 The Nuclear Safety Debate

9.3.8 The Nuclear Power Decision for Japan

9.3.8.1 Replace All Nuclear Power with Alternative Sources

9.3.8.2 Continue Using NPP with Improved Barriers to External Influences and Better Legislation

9.3.8.3 Continue with the Status Quo

9.3.9 Application of MCDM

9.3.10 AHP Results

9.3.11 Conclusion of the Second Group of Delegates

9.4 Feedback and Generic Lessons

9.4.1 Overall Criticism of the Two Groups

9.4.2 Wider Generic Lessons for the Nuclear Power Industry

9.5 Critical Commentary Section

10 Hurricane Katrina Disaster

10.1 Introduction

10.2 Background to the Disaster

10.2.1 A Sinking Region

10.2.2 Hurricane Protection System

10.2.3 Hurricane Katrina

10.2.4 Consequences of Failure

10.3 Technical Causes of Failure

10.3.1 Direct Causes

10.3.2 Contributing Factors

10.4 Hybrid Modeling Approach

10.5 Fault Tree Analysis

10.6 Reliability Block Diagram

10.7 Failure Modes, Effects, and Criticality Analysis

10.8 An AHP Model for the Hurricane Katrina Disaster

10.9 Results of Sensitivity Analysis

10.10 Discussion and Lessons Learned

10.11 Concluding Remarks

11 NASA’s Space Shuttle Columbia Accident

11.1 What Happened?

11.2 Logic of the Technical Causes of the Failure

11.3 Consequences and Severity

11.4 Proposed Improvements and Generic Lessons

11.5 FTA and RBD

11.6 Generic Lessons

11.6.1 Generic Lessons That Are Mainly Related to Setting Priorities

11.6.1.1 Too Much Belief in Previous Successes

11.6.1.2 Coping with Growth

11.6.1.3 Misconception of Fashionable Paradigms

11.6.2 Generic Lessons That Are Mainly Related to Responsibility and Skills

11.6.2.1 The “I Operate, You Fix” Attitude

11.6.2.2 Skill Levels Dilemma

11.6.3 Generic Lessons That Are Mainly Related to Communication

11.6.3.1 No News Is Good News

11.6.3.2 Bad News Bad Person

11.7 Concluding Remarks

11.8 Critical Commentary Section

12 Titanic, the Unsinkable Ship That Sank

12.1 Cruising

12.2 What Happened

12.3 Logic of the Technical Cause of the Disaster

12.4 Consequences and Severity

12.5 FTA and RBD for the Disaster

12.6 Proposed Improvements and Generic Lessons

3 Generic Lessons, Other Models of Learning from Failures and Research Directions

13 Introduction to the Concept of the Generic Lesson as an Outcome of Learning from Failures

13.1 Why Failure Can Be the Best Thing to Happen

13.1.1 Lesson 1: Too Much Belief in Previous Successes

13.1.2 Lesson 2: Coping with Growth

13.1.3 Lesson 3: Misunderstanding Fashionable Paradigms

13.1.4 Lesson 4: Legislation

13.1.5 Lesson 5: The “I Operate, You Fix” Attitude

13.1.6 Lesson 6: No News Is Good News

13.1.7 Lesson 7: Bad News, Bad Person

13.1.8 Lesson 8: Everyone’s Highest Priority Is Their Own Machine

13.1.9 Lesson 9: Solving a Crisis Is a Forgotten Experience

13.1.10 Lesson 10: Skill Levels Dilemma

13.2 Attributes of the Generic Lessons

13.3 Best Practice of Learning from Failures from Different Industries

13.4 Best Practice Can Be Learned from Worst Practice

14 A Model of Learning and Unlearning from Failures

14.1 Introduction

14.2 Research Methodology

14.3 Routine Dynamics in Learning and Unlearning from Failures

14.3.1 Literature on Organizational Dynamic Routines

14.3.2 Literature Related to Learning from Disasters

14.3.3 Learning and Unlearning from Disasters—The Case of NASA

14.3.4 The Case of BP

14.4 A New Theory of Routines for Adaptive Organizational Learning from Failures

14.4.1 Lessons Learnt from the Maintenance and Reliability Field

14.4.1.1 Human-Oriented Approach Based on the TPM Concept

14.4.1.2 Systems-Oriented Approach Based on the RCM Concept

14.4.2 The DMG

14.4.2.1 Suggested Strategies

14.5 Case Study of Applying the Proposed Model to a Disaster Analysis

14.6 Theoretical Framework and Discussion

14.6.1 Near-Misses and Failures

14.6.2 High Severity with Low Frequency Versus High Severity with High Frequency

14.6.3 Holonic Theory

14.6.4 Adaptive Ostensive and Performative Routines

14.7 Conclusion

Not Just Rearranging the Deckchairs on the Titanic: Learning from Failures Through Risk and Reliability Analysis

Abstract

Introduction

Learning from Failures as a Process Study

Case Studies

Choice of Case studies and research methodology

Case Study 1: Titanic the Unsinkable Ship That Sank

Fault Tree Analysis and Reliability Block Diagram for the Titanic Disaster

Proposed Improvements and Generic lessons

Case Study 2: The BP Texas City Incident

Sequence of events and Incident

Investigation

Fault Tree Analysis and Reliability Block Diagram for the BP Texas City Disaster

Case Study 3: The Chernobyl Disaster

Causes of the Incidence

Fault Tree Analysis and Reliability Block Diagram for the Chernobyl Disaster

Proposed Improvements and Generic lessons

Case Study 4: NASA’s Space Shuttle Columbia Accident

Technical and Logic Cause of the Failure

Fault Tree Analysis and Reliability Block Diagram for the Columbia Disaster

Proposed Framework Model

Overall Generic Lessons

Generic Lesson 1 – Too Much Belief in Previous Successes

Generic Lesson 2 – Coping with Growth

Generic Lesson 3 – Misconception of Fashionable Paradigms

Generic Lesson 4 – Legislations

Generic Lesson 5 – The “I operate, You fix” attitude

Generic Lesson 6 – No News is Good news

Generic Lesson 7 – Bad News Bad Person

Generic Lesson 8 – Everyone’s Own Machine is the Highest Priority to Him

Generic Lesson 9 – Solving a Crisis is a Forgotten Experience

Generic Lesson 10 – Skill Levels Dilemma

Attributes of the Generic Lessons

Concluding Remarks

Appendix A: Fault Tree Analysis (FTA)

Reliability Block Diagrams (RBD)

Acknowledgement

References

References

Other Related Literature

Glossary of Terms

Index

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