Barriers and Accident Prevention
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A01=Erik Hollnagel
Accident Analysis
Accident Investigation
Accident Model
Accident Prediction
Accident Prevention
analysis
Author_Erik Hollnagel
Barrier Functions
Barrier System
Blunt End
Category=KNG
Common Performance Conditions
DBA
epidemiological
Epidemiological Accident Model
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
ETTO Principle
fault
Fault Tree
Functional Resonance
functions
human factors analysis
London Millennium Bridge
model
MTO
performance
performance monitoring methods
Performance Variability
proactive accident prevention methodology
Requisite Imagination
risk management strategies
safety barrier classification
sequential
Sequential Accident Model
Sharp End
Sneak Path
Stochastic Resonance
system
system safety engineering
systemic
Systemic Accident Model
systemic accident models
Tacoma Narrows Bridge
Unwanted Outcome
variability
Product details
- ISBN 9780754643012
- Weight: 610g
- Dimensions: 156 x 234mm
- Publication Date: 22 Oct 2004
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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Accidents are preventable, but only if they are correctly described and understood. Since the mid-1980s accidents have come to be seen as the consequence of complex interactions rather than simple threads of causes and effects. Yet progress in accident models has not been matched by advances in methods. The author's work in several fields (aviation, power production, traffic safety, healthcare) made it clear that there is a practical need for constructive methods and this book presents the experiences and the state-of-the-art. The focus of the book is on accident prevention rather than accident analysis and unlike other books, has a proactive rather than reactive approach. The emphasis on design rather than analysis is a trend also found in other fields. Features of the book include: -A classification of barrier functions and barrier systems that will enable the reader to appreciate the diversity of barriers and to make informed decisions for system changes. -A perspective on how the understanding of accidents (the accident model) largely determines how the analysis is done and what can be achieved. The book critically assesses three types of accident models (sequential, epidemiological, systemic) and compares their strengths and weaknesses. -A specific accident model that captures the full complexity of systemic accidents. One consequence is that accidents can be prevented through a combination of performance monitoring and barrier functions, rather than through the elimination or encapsulation of causes. -A clearly described methodology for barrier analysis and accident prevention. Written in an accessible style, Barriers and Accident Prevention is designed to provide a stimulating and practical guide for industry professionals familiar with the general ideas of accidents and human error. The book is directed at those involved with accident analysis and system safety, such as managers of safety departments, risk and safety consultants, human factors professionals, and accident investigators. It is applicable to all major application areas such as aviation, ground transportation, maritime, process industries, healthcare and hospitals, communication systems, and service providers.
Erik Hollnagel has been Full Professor of Human-Machine Interaction at Linköping University (S), since 1999. Previously Principal Advisor, OECD Halden Reactor Project, Norway (1995-1999); Technical Director, HRA Ltd., UK (1993-1995); Senior researcher, Department Manager, and later Principal Scientist, Computer Resources International, Denmark (1985-1993). In addition to Coping with Computers in the Cockpit edited with Sidney Dekker, he has written two books on reliability and accidents: Human reliability analysis, Academic Press, 1993; Cognitive Reliability and Error Analysis Method, 1998 and Cognitive Task Design, 2003. He has worked closely with the patient safety programmes in Sweden, training doctors and nurses in risk assessment.
