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Probabilistic Evaluation of Integrated Safety-Security Protection Plans for Process Facilities
Giulia Marroni1, Sanneke Kuipers2, Gabriele Landucci1
1Department of Civil and Industrial Engineering, University of Pisa, Pisa, Italy.
This study introduces a cost-effective framework for chemical facilities, integrating safety and security measures. It uses Bayesian networks to assess protection strategies against intentional attacks, enhancing critical infrastructure resilience.
Area of Science:
- Chemical Engineering
- Risk Management
- Security Science
Background:
- Growing conflicts necessitate robust safety and security for chemical facilities.
- Conventional safety approaches do not address intentional threats effectively.
- An integrated safety-security framework is crucial for industrial protection.
Purpose of the Study:
- To propose a methodology for evaluating the cost-effectiveness of integrated safety and security strategies.
- To incorporate attack and escalation scenarios into a probabilistic cost-benefit analysis.
- To provide a systematic tool for assessing protection plans in critical infrastructures.
Main Methods:
- Utilizing a probabilistic approach based on Bayesian networks (BN).
- Integrating attack scenarios, escalation scenarios, and barrier performance into cost-benefit analysis.
- Developing a cost-benefit function to quantify economic benefits of damage reduction.
Main Results:
- Demonstrated the effectiveness of integrated safety-security measures in mitigating damage probability.
- Showcased the ability of the methodology to control escalation scenarios.
- Evaluated different protection plans, including fireproofing and video motion detection systems.
Conclusions:
- The proposed methodology offers a systematic tool for assessing the economic efficiency of safety and security plans.
- It effectively bridges the gap between safety and security analyses for critical infrastructure protection.
- This approach enhances decision-making for plant managers and practitioners in risk management.
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