Article: BORA-BN, an integrated approach for risk assessment in the process industry Journal: International Journal of Business Continuity and Risk Management (IJBCRM) 2025 Vol.15 No.3 pp.289 - 321 Abstract: The presented paper exhibits the conversion of the barriers operability risk analysis method (BORA) into a flexible tool, the Bayesian network framework (BN), aiming to strengthen safety risk assessments in industries. BORA is traditionally employed to assess the performance of barrier safety in multi-systems, which eventually encounter many limitations in dynamic risk assessment, dependency, and uncertainty usage. The integration of BN addresses these limitations and offers an adaptive model that can handle probabilistic approaches. This conversion permits an instantaneous updating of risk level values, leveraging the interdependencies of safety barriers and incorporating the newest data and information. The proposed methodology includes the transformation of BORA's into a network of probabilistic variables, which enhance the predictive precision and decision-making. This paper highlights the significance of the proposed approach, including uncertainty and sensitivity analysis. The case study illustrates in practice the benefits of the usage of the BORA-BN in the industry. Inderscience Publishers - linking academia, business and industry through research

Title: BORA-BN, an integrated approach for risk assessment in the process industry

Authors: Abderraouf Bouafia; Mohammed Bougofa; Ammar Chakhrit

Addresses: Laboratoire de Génie Chimique et Environnement de Skikda, Département de Génie des Procédés, Université de 20 Aout 1955, Skikda, 2100, Algérie ' Transport Engineering and Environment Laboratory, Frères Mentouri Constantine 1 University, Constantine, 25000, Algeria; Sonatrach, Exploration and Production Activity, Production Division, Illizi, Algeria ' Department of Mechanical Engineering, Faculty of Science and Technology, Mohamed Cherif Messaadia University, 41000 Souk-Ahras, Algeria

Abstract: The presented paper exhibits the conversion of the barriers operability risk analysis method (BORA) into a flexible tool, the Bayesian network framework (BN), aiming to strengthen safety risk assessments in industries. BORA is traditionally employed to assess the performance of barrier safety in multi-systems, which eventually encounter many limitations in dynamic risk assessment, dependency, and uncertainty usage. The integration of BN addresses these limitations and offers an adaptive model that can handle probabilistic approaches. This conversion permits an instantaneous updating of risk level values, leveraging the interdependencies of safety barriers and incorporating the newest data and information. The proposed methodology includes the transformation of BORA's into a network of probabilistic variables, which enhance the predictive precision and decision-making. This paper highlights the significance of the proposed approach, including uncertainty and sensitivity analysis. The case study illustrates in practice the benefits of the usage of the BORA-BN in the industry.

Keywords: Bayesian network; BN; barrier's operability risk analysis; BORA; risk assessment; probabilistic assessment; RIF's weight and score; sensitivity analysis RoV.

DOI: 10.1504/IJBCRM.2025.148362

International Journal of Business Continuity and Risk Management, 2025 Vol.15 No.3, pp.289 - 321

Received: 14 Sep 2024
Accepted: 17 Mar 2025
Published online: 02 Sep 2025 *

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Title: BORA-BN, an integrated approach for risk assessment in the process industry

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