Learning from Failures

Decision Analysis of Major Disasters
Erscheinungsjahr 2014
ISBN: 978-0-12-416727-8
Verlag: Elsevier Science

Buch, Englisch, 336 Seiten, Format (B × H): 184 mm x 241 mm, Gewicht: 856 g

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.

Autoren/Hrsg.

Labib, Ashraf

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Geowissenschaften Umweltwissenschaften Naturgewalten & Katastrophen
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Risikobewertung, Risikotheorie
• Sozialwissenschaften Politikwissenschaft Militärwesen Zivil- und Katastrophenschutz
• Technische Wissenschaften Technik Allgemein Technische Zuverlässigkeit, Sicherheitstechnik

Inhaltsverzeichnis

1. Introduction to the Concept of Learning from Failures2. Introduction to Failure Analysis Techniques in Reliability Modeling3. Introduction to the Analytic Hierarchy Process4. The Bhopal Disaster - Learning from Failures and Evaluating Risk5 BP Deepwater Horizon6. Case Study: BP Texas City Disaster7. Chernobyl Disaster8. The Concorde Crash9. Fukushima Nuclear Disaster10. Hurricane Katrina Disaster11. NASA's Space Shuttle Columbia Accident12. The Titanic13. Introduction to the Concept of Generic Lesson as an Outcome of Learning from Failures14. A Model of Learning and Unlearning from Failures

Über Autor(innen)

Labib, Ashraf
Ashraf Labib is Professor of Operations and Decision Analysis at Portsmouth Business School, and before this was the Associate Dean (Research) of the Business School and Director of the DBA Programme. His main research interest lies in the field of Strategic Operations Management and Decision Analysis, including Manufacturing, Reliability Engineering and Maintenance Systems, Multiple Criteria Decision-Analysis and Applications of Artificial Intelligence such as Fuzzy Logic.

Prior to joining Portsmouth Business School, Professor Labib was a Senior Lecturer in the Manufacturing Division of the Department of Mechanical, Aerospace and Manufacturing Engineering at UMIST. He has published 120-refereed papers in professional journals and international conferences proceedings and has attracted research-funded projects from EPSRC, ESRC, European Commission and industry. He have been involved in the design, development, and implementation of Computerised Maintenance Management Systems (CMMSs), Stock Control Spares and Ordering Systems for major companies in the automotive sector such as Land Rover, Rockwell, Peugeot Talbot and Federal Mogul - Ferodo.