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Learning from Failures: Decision Analysis of Major Disasters by [Labib, Ashraf]
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Learning from Failures: Decision Analysis of Major Disasters 1st , Kindle Edition

3.0 out of 5 stars 1 customer review

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Product description


"...create systematic ways of analysing the causes of disasters, using diagrams such as fault tree analysis (FTA) and reliability block diagrams."--Chemistry & Industry

"...makes interesting reading and should be read by all those who want to specialize in the area of reliability engineering and understand the genesis of tragic events..."-International Journal of Performability Engineering

"This is a must-read book for all students, engineers, leaders and managers concerned with safety and security during the life cycle of physical assets.  The author presents clear in-depth analysis of disasters in a holistic manner underpinned by state-of-the-art scientific knowledge and innovative research providing concise practical lessons as well as models to learn from failures".

Dr Ayman Nassif

Principal Lecturer in Structural Engineering/Admissions Tutor

University of Portsmouth-School of Civil Engineering and Surveying

"The author says that for organizations to successfully avoid major disasters they need to undertake risk and reliability analysis" (Irish Independent)

"Experiencing failure and avoiding over-confidence could have prevented some of the world’s greatest disasters such as sinking the Titanic and the loss of two NASA space shuttles, according to new research by Professor Labib of the University of Portsmouth" (Belfast Telegraph)

"The issue of the institutional safety culture is under intense scrutiny. This book provides a helpful alternative view of the evolution of information within an evolving safety culture. As such, it will be an important guide to risk managers and project supervisors". Neal Langerman, Advanced Chemical Safety INC

About the Author

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.

Product details

  • Format: Kindle Edition
  • File Size: 12924 KB
  • Print Length: 336 pages
  • Publisher: Butterworth-Heinemann; 1 edition (19 Jun. 2014)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B00LITA0W0
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Enabled
  • Average Customer Review: 3.0 out of 5 stars 1 customer review
  • Amazon Bestsellers Rank: #962,972 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Format: Hardcover Verified Purchase
The illustrations and diagrams as shown under "Look Inside" are in colour for this book, but are in black and white in the copy received by me. The following are the details of this order:

"Ordered on 5 December 2014 Order # 205-8056045-8774753, Price £53.99"


John Sullivan
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