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Title
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Risk assessment methods for process safety, process security and resilience in the chemical process industry : a thorough literature review
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Author
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Abstract
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| This paper presents a systematic literature review of risk assessment methods in the chemical process industry (CPI), focusing on process safety, process security, and resilience. We analyzed peer-reviewed articles from 2000 to 2022 using the PRISMA methodology and identified twelve predominant methods. Our findings reveal a shift towards dynamic, systemic-based assessments like the Functional Resonance Analysis Method (FRAM) and System-Theoretic Accident Model and Processes (STAMP). These methods are particularly effective at capturing the complexities of sociotechnical systems in the CPI. However, a significant observation from our review is the limited emphasis on the resilience paradigm within many existing methods when addressing both process safety and process security risks, which is crucial for preventing and recovering from disruptions. Given the evolving challenges in system safety and security threats, there is an urgent need for holistic methods that integrate process safety, process security, and resilience. Our review highlights the opportunity for further research to better prepare the industry for future challenges, ensuring safer, more secure, reliable, and resilient operations. |
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Language
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English
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Source (journal)
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Journal of loss prevention in the process industries. - Stoneham
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Publication
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London
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Elsevier sci ltd
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2024
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ISSN
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0950-4230
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DOI
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10.1016/J.JLP.2024.105274
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Volume/pages
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88
(2024)
, p. 1-17
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Article Reference
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105274
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ISI
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001194365800001
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Full text (Publisher's DOI)
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Full text (open access)
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