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Cover image for Risk analysis : assessing uncertainties beyond expected values and probabilities
Title:
Risk analysis : assessing uncertainties beyond expected values and probabilities
Personal Author:
Publication Information:
West Sussex, England : John Wiley & Sons, 2008
Physical Description:
x, 194 p. : ill. ; 24 cm.
ISBN:
9780470517369

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30000010195780 HD61 A93 2008 Open Access Book Book
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Summary

Summary

Everyday we face decisions that carry an element of risk and uncertainty. The ability to analyze, predict, and prepare for the level of risk entailed by these decisions is, therefore, one of the most constant and vital skills needed for analysts, scientists and managers.

Risk analysis can be defined as a systematic use of information to identify hazards, threats and opportunities, as well as their causes and consequences, and then express risk. In order to successfully develop such a systematic use of information, those analyzing the risk need to understand the fundamental concepts of risk analysis and be proficient in a variety of methods and techniques. Risk Analysis adopts a practical, predictive approach and guides the reader through a number of applications.

Risk Analysis:

Provides an accessible and concise guide to performing risk analysis in a wide variety of fields, with minimal prior knowledge required. Adopts a broad perspective on risk, with focus on predictions and highlighting uncertainties beyond expected values and probabilities, allowing a more flexible approach than traditional statistical analysis. Acknowledges that expected values and probabilities could produce poor predictions - surprises may occur. Emphasizes the planning and use of risk analyses, rather than just the risk analysis methods and techniques, including the statistical analysis tools. Features many real-life case studies from a variety of applications and practical industry problems, including areas such as security, business and economy, transport, oil & gas and ICT (Information and Communication Technology). Forms an ideal companion volume to Aven's previous Wiley text Foundations of Risk Analysis .

Professor Aven's previous book Foundations of Risk Analysis presented and discussed several risk analysis approaches and recommended a predictive approach. This new text expands upon this predictive approach, exploring further the risk analysis principles, concepts, methods and models in an applied format. This book provides a useful and practical guide to decision-making, aimed at professionals within the risk analysis and risk management field.


Author Notes

Terje Aven is Professor of risk analysis and risk management at the University of Stavanger, and a Principle Researcher at the International Research Institute of Stavanger (IRIS). Having worked in both industry and academia, he has participated in, and led, many safety and risk related projects, winning several awards for both research and teaching. He has published numerous papers in international journals, and has authored several books.


Table of Contents

Prefacep. ix
Part I Theory and methodsp. 1
1 What is a risk analysis?p. 3
1.1 Why risk analysis?p. 5
1.2 Risk managementp. 6
1.2.1 Decision-making under uncertaintyp. 8
1.3 Examples: decision situationsp. 13
1.3.1 Risk analysis for a tunnelp. 13
1.3.2 Risk analysis for an offshore installationp. 14
1.3.3 Risk analysis related to a cash depotp. 14
2 What is risk?p. 17
2.1 Vulnerabilityp. 21
2.2 How to describe risk quantitativelyp. 22
2.2.1 Description of risk in a financial contextp. 24
2.2.2 Description of risk in a safety contextp. 25
3 The risk analysis process: planningp. 29
3.1 Problem definitionp. 29
3.2 Selection of analysis methodp. 34
3.2.1 Checklist-based approachp. 35
3.2.2 Risk-based approachp. 36
4 The risk analysis process: risk assessmentp. 39
4.1 Identification of initiating eventsp. 39
4.2 Cause analysisp. 40
4.3 Consequence analysisp. 41
4.4 Probabilities and uncertaintiesp. 43
4.5 Risk picture: Risk presentationp. 44
4.5.1 Sensitivity and robustness analysesp. 48
4.5.2 Risk evaluationp. 49
5 The risk analysis process: risk treatmentp. 51
5.1 Comparisons of alternativesp. 51
5.1.1 How to assess measures?p. 53
5.2 Management review and judgementp. 55
6 Risk analysis methodsp. 57
6.1 Coarse risk analysisp. 57
6.2 Job safety analysisp. 62
6.3 Failure modes and effects analysisp. 64
6.3.1 Strengths and weaknesses of an FMEAp. 69
6.4 Hazard and operability studiesp. 70
6.5 SWIFTp. 71
6.6 Fault tree analysisp. 72
6.6.1 Qualitative analysisp. 74
6.6.2 Quantitative analysisp. 76
6.7 Event tree analysisp. 78
6.7.1 Barrier block diagramsp. 80
6.8 Bayesian networksp. 80
6.9 Monte Carlo simulationp. 83
Part II Examples of applicationsp. 85
7 Safety measures for a road tunnelp. 87
7.1 Planningp. 87
7.1.1 Problem definitionp. 87
7.1.2 Selection of analysis methodp. 88
7.2 Risk assessmentp. 88
7.2.1 Identification of initiating eventsp. 88
7.2.2 Cause analysisp. 90
7.2.3 Consequence analysisp. 90
7.2.4 Risk picturep. 94
7.3 Risk treatmentp. 95
7.3.1 Comparison of alternativesp. 95
7.3.2 Management review and decisionp. 95
8 Risk analysis process for an offshore installationp. 97
8.1 Planningp. 97
8.1.1 Problem definitionp. 97
8.1.2 Selection of analysis methodp. 98
8.2 Risk analysisp. 98
8.2.1 Hazard identificationp. 98
8.2.2 Cause analysisp. 98
8.2.3 Consequence analysisp. 100
8.3 Risk picture and comparison of alternativesp. 103
8.4 Management review and judgementp. 104
9 Production assurancep. 105
9.1 Planningp. 105
9.2 Risk analysisp. 105
9.2.1 Identification of failuresp. 105
9.2.2 Cause analysisp. 106
9.2.3 Consequence analysisp. 106
9.3 Risk picture and comparison of alternativesp. 108
9.4 Management review and judgement Decisionp. 109
10 Risk analysis process for a cash depotp. 111
10.1 Planningp. 111
10.1.1 Problem definitionp. 111
10.1.2 Selection of analysis methodp. 112
10.2 Risk analysisp. 113
10.2.1 Identification of hazards and threatsp. 113
10.2.2 Cause analysisp. 113
10.2.3 Consequence analysisp. 116
10.3 Risk picturep. 118
10.4 Risk-reducing measuresp. 120
10.4.1 Relocation of the NOKAS facilityp. 120
10.4.2 Erection of a wallp. 121
10.5 Management review and judgment Decisionp. 121
10.6 Discussionp. 122
11 Risk analysis process for municipalitiesp. 123
11.1 Planningp. 123
11.1.1 Problem definitionp. 123
11.1.2 Selection of analysis methodp. 124
11.2 Risk assessmentp. 124
11.2.1 Hazard and threat identificationp. 124
11.2.2 Cause and consequence analysis Risk picturep. 125
11.3 Risk treatmentp. 128
12 Risk analysis process for the entire enterprisep. 131
12.1 Planningp. 131
12.1.1 Problem definitionp. 131
12.1.2 Selection of analysis methodp. 132
12.2 Risk analysisp. 132
12.2.1 Price riskp. 132
12.2.2 Operational riskp. 135
12.2.3 Health, Environment and Safety (HES)p. 137
12.2.4 Reputation riskp. 138
12.3 Overall risk picturep. 140
12.4 Risk treatmentp. 141
13 Discussionp. 143
13.1 Risk analysis as a decision support toolp. 143
13.2 Risk is more than the calculated probabilities and expected valuesp. 144
13.3 Risk analysis has both strengths and weaknessesp. 145
13.3.1 Precision of a risk analysis: uncertainty and sensitivity analysisp. 145
13.3.2 Tenninologyp. 147
13.3.3 Risk acceptance criteria (tolerability limits)p. 149
13.4 Reflection on approaches, methods and resultsp. 152
13.5 Limitations of the causal chain approachp. 152
13.6 Risk perspectivesp. 154
13.7 Scientific basisp. 157
13.8 The implications of the limitations of risk assessmentp. 159
13.9 Critical systems and activitiesp. 161
13.10 Conclusionsp. 166
A Probability calculus and statisticsp. 167
A.1 The meaning of a probabilityp. 167
A.2 Probability calculusp. 168
A.3 Probability distributions: expected valuep. 170
A.3.1 Binomial distributionp. 171
A.4 Statistics (Bayesian statistics)p. 172
B Introduction to reliability analysisp. 173
B.1 Reliability of systems composed of componentsp. 173
B.2 Production systemp. 175
B.3 Safety systemp. 175
C Approach for selecting risk analysis methodsp. 177
C.1 Expected consequencesp. 177
C.2 Uncertainty factorsp. 179
C.3 Frame conditionsp. 179
C.4 Selection of a specific methodp. 180
D Terminologyp. 183
D.1 Risk management: relationships between key termsp. 186
Bibliographyp. 187
Indexp. 193
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