Buch, Englisch, 784 Seiten, Format (B × H): 159 mm x 232 mm, Gewicht: 1408 g
Theory, Methods, and Applications
Buch, Englisch, 784 Seiten, Format (B × H): 159 mm x 232 mm, Gewicht: 1408 g
ISBN: 978-1-119-37723-8
Verlag: John Wiley & Sons Inc
Introduces risk assessment with key theories, proven methods, and state-of-the-art applications
Risk Assessment: Theory, Methods, and Applications remains one of the few textbooks to address current risk analysis and risk assessment with an emphasis on the possibility of sudden, major accidents across various areas of practice—from machinery and manufacturing processes to nuclear power plants and transportation systems. Updated to align with ISO 31000 and other amended standards, this all-new 2nd Edition discusses the main ideas and techniques for assessing risk today.
The book begins with an introduction of risk analysis, assessment, and management, and includes a new section on the history of risk analysis. It covers hazards and threats, how to measure and evaluate risk, and risk management. It also adds new sections on risk governance and risk-informed decision making; combining accident theories and criteria for evaluating data sources; and subjective probabilities. The risk assessment process is covered, as are how to establish context; planning and preparing; and identification, analysis, and evaluation of risk. Risk Assessment also offers new coverage of safe job analysis and semi-quantitative methods, and it discusses barrier management and HRA methods for offshore application. Finally, it looks at dynamic risk analysis, security and life-cycle use of risk.
- Serves as a practical and modern guide to the current applications of risk analysis and assessment, supports key standards, and supplements legislation related to risk analysis
- Updated and revised to align with ISO 31000 Risk Management and other new standards and includes new chapters on security, dynamic risk analysis, as well as life-cycle use of risk analysis
- Provides in-depth coverage on hazard identification, methodologically outlining the steps for use of checklists, conducting preliminary hazard analysis, and job safety analysis
- Presents new coverage on the history of risk analysis, criteria for evaluating data sources, risk-informed decision making, subjective probabilities, semi-quantitative methods, and barrier management
- Contains more applications and examples, new and revised problems throughout, and detailed appendices that outline key terms and acronyms
- Supplemented with a book companion website containing Solutions to problems, presentation material and an Instructor Manual
Risk Assessment: Theory, Methods, and Applications, Second Edition is ideal for courses on risk analysis/risk assessment and systems engineering at the upper-undergraduate and graduate levels. It is also an excellent reference and resource for engineers, researchers, consultants, and practitioners who carry out risk assessment techniques in their everyday work.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Preface xiii
Acknowledgments xvii
About the Companion Site xix
1 Introduction 1
1.1 Risk in Our Modern Society 1
1.2 Important Trends 2
1.3 Major Accidents 4
1.4 History of Risk Assessment 4
1.5 Applications of Risk Assessment 9
1.6 Objectives, Scope, and Delimitation 11
1.7 Problems 12
References 13
2 The Words of Risk Analysis 15
2.1 Introduction 15
2.2 Risk 16
2.3 What Can Go Wrong? 20
2.4 What is the Likelihood? 38
2.5 What are the Consequences? 44
2.6 Additional Terms 49
2.7 Problems 54
References 56
3 Main Elements of Risk Assessment 59
3.1 Introduction 59
3.2 Risk Assessment Process 60
3.3 Risk Assessment Report 76
3.4 Risk Assessment in Safety Legislation 81
3.5 Validity and Quality Aspects of a Risk Assessment 82
3.6 Problems 83
References 84
4 Study Object and Limitations 87
4.1 Introduction 87
4.2 Study Object 87
4.3 Operating Context 91
4.4 System Modeling and Analysis 92
4.5 Complexity 95
4.6 Problems 97
References 98
5 Risk Acceptance 99
5.1 Introduction 99
5.2 Risk Acceptance Criteria 99
5.3 Approaches to Establishing Risk Acceptance Criteria 106
5.4 Risk Acceptance Criteria for Other Assets than Humans 114
5.5 Closure 115
5.6 Problems 115
References 117
6 Measuring Risk 121
6.1 Introduction 121
6.2 Risk Metrics 121
6.3 Measuring Risk to People 123
6.4 Risk Matrices 148
6.5 Reduction in Life Expectancy 154
6.6 Choice and Use of Risk Metrics 156
6.7 Risk Metrics for Other Assets 158
6.8 Problems 159
References 163
7 Risk Management 167
7.1 Introduction 167
7.2 Scope, Context, and Criteria 170
7.3 Risk Assessment 170
7.4 Risk Treatment 171
7.5 Communication and Consultation 172
7.6 Monitoring and Review 173
7.7 Recording and Reporting 174
7.8 Stakeholders 175
7.9 Risk and Decision-Making 176
7.10 Safety Legislation 179
7.11 Problems 180
References 180
8 Accident Models 183
8.1 Introduction 183
8.2 Accident Classification 183
8.3 Accident Investigation 188
8.4 Accident Causation 188
8.5 Accident Models 190
8.6 Energy and Barrier Models 193
8.7 Sequential Accident Models 195
8.8 Epidemiological Accident Models 201
8.9 Event Causation and Sequencing Models 208
8.10 Systemic Accident Models 213
8.11 Combining Accident Models 228
8.12 Problems 229
References 230
9 Data for Risk Analysis 235
9.1 Types of Data 235
9.2 Quality and Applicability of Data 238
9.3 Data Sources 239
9.4 Expert Judgment 250
9.5 Data Dossier 254
9.6 Problems 254
References 257
10 Hazard Identification 259
10.1 Introduction 259
10.2 Checklist Methods 263
10.3 Preliminary Hazard Analysis 266
10.4 Job Safety Analysis 278
10.5 FMECA 287
10.6 HAZOP 295
10.7 STPA 306
10.8 SWIFT 316
10.9 Comparing Semiquantitative Methods 322
10.10 Master Logic Diagram 322
10.11 Change Analysis 324
10.12 Hazard Log 327
10.13 Problems 331
References 335
11 Causal and Frequency Analysis 339
11.1 Introduction 339
11.2 Cause and Effect Diagram Analysis 341
11.3 Fault Tree Analysis 344
11.4 Bayesian Networks 370
11.5 Markov Methods 384
11.6 Problems 396
References 400
12 Development of Accident Scenarios 401
12.1 Introduction 401
12.2 Event Tree Analysis 402
12.3 Event Sequence Diagrams 426
12.4 Cause–Consequen