The book is presented in three succinct sections that discuss the key
theory, methods, and applications of risk assessment. The first section
lays the groundwork for the topic by introducing key laws, regulations,
and concepts related to risk assessment, along with in-depth discussion
of related topics including "random hazards and deliberate threats;
hazard/threat taxonomies; how to measure and evaluate risk; individual
and societal risk metrics; the main approaches to setting risk
acceptance criteria; the role of risk analysis in safety/risk
management; accidents and accident models; and data and data sources for
risk analysis. Next, the author treats the key methods and tools for
risk analysis. Each method is treated in the same comprehensive format:
introduction; objectives and application; method description
(qualitative and quantitative); resources required; and pros and cons. A
flowsheet accompanies each method, illustrating the various steps and
the required input to each step. Additional topics of coverage in this
section include coverage of hazard identification, causal analysis,
barrier analysis, and uncertainty and sensitivity. A final section
focuses on applications of risk analysis techniques and discuses process
hazard analysis;risk and vulnerability analysis; environmental risk
analyses; major accident risk analysis; product/machinery risk analysis;
and formal safety assessment/maritime risk. Each chapter in all sections
conclude with problem sets, and detailed appendices outline elements of
probability theory, a glossary of key terms, and definitions of related
An introduction to risk assessment that utilizes key theory and
state-of-the-art applications With its balanced coverage of theory and
applications along with standards and regulations, Risk
Assessment: Theory, Methods, and Applications serves as a
comprehensive introduction to the topic. The book serves as a practical
guide to current risk analysis and risk assessment, emphasizing the
possibility of sudden, major accidents across various areas of practice
from machinery and manufacturing processes to nuclear power plants and
Key Topics Covered:
The Words of Risk Analysis.
Hazards and Threats.
How to Measures and Evaluate Risk?
Data for Risk Analysis.
Risk Assessment Process.
Causal and Frequency Analysis.
Development of Accident Scenarios.
Barriers and Barrier Analysis.
Human Reliability Analysis.
Job Safety Analysis.
Common Cause Failures.
Uncertainty and Sensitivity.
Development and Applications of Risk Assessment.
Elements of Probability Theory.
Marvin Rausand, PhD, is Professor in the Department of Production and
Quality Engineering at Norwegian University of Science and Technology.
He has over thirty years of academic experience and has published more
than fifty journal article sin his areas of research interest, which
include system reliability theory, risk analysis,maintenance
optimization, and probabilistic modeling. Dr. Rausand is the author of
System Reliability Theory: Models, Statistical Methods, and
Applications, Second Edition,published by Wiley.