Engineering Risk Management 3rd Edition by Thierry Meyer, Genserik Reniers ISBN 3110665425 9783110665420

1. Risk Management Overview

• 1.1 Risk management isn’t just about financial risks.

2. Introduction to Engineering and Managing Risks

• 2.1 Managing risks and uncertainties.
• 2.2 Complexity of risks and uncertainties.
• 2.3 Hazards and risks.
• 2.4 Simplified interpretation of negative risk.
• 2.5 Hazard and risk mapping.
• 2.6 Risk perception and attitude.
• 2.7 Main steps of ERM (Enterprise Risk Management).
• 2.8 Importance and objectives of ERM.
• 2.9 The Black Swan (Type III events).
• 2.10 Role of risk management in education.
• 2.11 Tips for managing risks.
• 2.12 Conclusions.

3. Risk Management Principles

• 3.1 Introduction to risk management.
• 3.2 Integrated risk management.
• 3.3 Risk management models:
  • Accident pyramid model.
  • P2T model.
  • Swiss cheese model and domino theory.
• 3.4 Anatomy of accidents: SIFs (Safety Instrumented Functions) and SILs (Safety Integrity Levels).
• 3.5 Types of risk (individual, societal, and physical).
• 3.6 Safety culture:
  • Organizational culture and climate.
  • Safety culture models.
  • Safety culture models applied (P2T model, Egg Aggregated model).
• 3.7 Strategic management and continuous improvement.
• 3.8 IDEAL S&S model.
• 3.9 Performance indicators.
• 3.10 High-reliability organizations and systemic risks.
  • Normal accident theory and high reliability theory.
  • HRO principles and risk management.
• 3.11 Accident reporting.
• 3.12 Conclusions.

4. Risk Diagnostic and Analysis

• 4.1 Introduction to risk assessment techniques.
  • Inductive vs. deductive methods.
  • Risk analysis techniques.
• 4.2 SWOT analysis.
• 4.3 Preliminary hazard analysis.
• 4.4 Checklists.
  • Methodology, example, and conclusions.
• 4.5 HAZOP (Hazard and Operability Study).
  • Inputs, outputs, process, and examples.
• 4.6 FMECA (Failure Modes, Effects, and Criticality Analysis).
  • Inputs, outputs, process, and examples.
• 4.7 Fault tree analysis, event tree analysis, and Cause-Consequence analysis.
• 4.8 Risk matrix.
• 4.9 Quantitative Risk Assessment (QRA).
• 4.10 Layer of Protection Analysis (LOPA).
• 4.11 Bayesian Networks.
• 4.12 Functional Resonance Analysis Method (FRAM).
• 4.13 Tips for using risk diagnostic tools.
• 4.14 Conclusion.

5. Risk Treatment/Reduction

• 5.1 Introduction.
• 5.2 Prevention (e.g., Seveso Directive for chemical plants).
• 5.3 Protection and mitigation.
• 5.4 Risk treatment methodology.
• 5.5 Risk control.
• 5.6 STOP principle.
• 5.7 Resilience.
• 5.8 Tips for implementing risk reduction.
• 5.9 Conclusion.

6. Event Analysis

• 6.1 Traditional analytical techniques:
  • Sequence of events, multilinear event sequencing, root cause analysis.
• 6.2 Causal tree analysis.
  • Building action plans and implementing solutions.
• 6.3 AcciMap technique.
• 6.4 Organizational learning.
• 6.5 Conclusions.

7. Major Industrial Accidents and Learning from Them

• 7.1 Link between major accidents and legislation.
• 7.2 Examples of major industrial accidents (e.g., Bhopal, Chernobyl, Deepwater Horizon, Fukushima, and others from various years).
• 7.3 Learning from accidents.
• 7.4 Finding problems.
• 7.5 Conclusions.

8. Crisis Management

• 8.1 Introduction.
• 8.2 Steps in crisis management.
  • Business continuity plans.
• 8.3 Crisis evolution stages:
  • Pre-crisis, acute-crisis, and post-crisis stages.
• 8.4 Proactive vs. reactive crisis management.
• 8.5 Crisis communication.
• 8.6 Tips for implementing crisis management.
• 8.7 Conclusions.

9. Economic Issues of Safety

• 9.1 Accident costs and benefits.
  • Examples and calculations.
• 9.2 Prevention costs and benefits.
• 9.3 Safety economics.
  • Cost-effectiveness and cost–benefit analysis.
  • Risk acceptability and investment analysis.
• 9.4 Safety budget allocation.
• 9.5 Loss aversion and safety as an economic value.
• 9.6 Conclusions.

10. Risk Governance

• 10.1 Introduction.
• 10.2 Risk management systems.
• 10.3 Framework for risk governance.
• 10.4 Risk governance model and layers.
• 10.5 Risk governance PDCA (Plan-Do-Check-Act) cycle.
• 10.6 Risk governance deficits.
• 10.7 Conclusions.

11. Practical Implementation of Risk Management

• 11.1 The MICE concept (Management, Information, Control, and Emergency steps).
• 11.2 Applications in chemistry and physics research.
• 11.3 Emerging technologies (e.g., nanotechnologies).
• 11.4 Tips for implementing risk management in practice.
• 11.5 Conclusions.

12. Concluding Remarks