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Optimization the reliability of emergency safety barriers based on the subjective safety analysis and evidential reasoning theory. Case study

Daas Samia (Laboratory of Research in Industrial Prevention (LRPI), Institute of Health and Safety, University of Batna 2, Batna, Algeria)
Innal Fares (Institute of Applied Sciences and Techniques, University of Skikda, Skikda, Algeria)

International Journal of Quality & Reliability Management

ISSN: 0265-671X

Article publication date: 28 April 2023

Issue publication date: 2 January 2024

159

Abstract

Purpose

This study aims to improve the reliability of emergency safety barriers by using the subjective safety analysis based on evidential reasoning theory in order to develop on a framework for optimizing the reliability of emergency safety barriers.

Design/methodology/approach

The emergency event tree analysis is combined with an interval type-2 fuzzy-set and analytic hierarchy process (AHP) method. In order to the quantitative data is not available, this study based on interval type2 fuzzy set theory, trapezoidal fuzzy numbers describe the expert's imprecise uncertainty about the fuzzy failure probability of emergency safety barriers related to the liquefied petroleum gas storage prevent. Fuzzy fault tree analysis and fuzzy ordered weighted average aggregation are used to address uncertainties in emergency safety barrier reliability assessment. In addition, a critical analysis and some corrective actions are suggested to identify weak points in emergency safety barriers. Therefore, a framework decisions are proposed to optimize and improve safety barrier reliability. Decision-making in this framework uses evidential reasoning theory to identify corrective actions that can optimize reliability based on subjective safety analysis.

Findings

A real case study of a liquefied petroleum gas storage in Algeria is presented to demonstrate the effectiveness of the proposed methodology. The results show that the proposed methodology provides the possibility to evaluate the values of the fuzzy failure probability of emergency safety barriers. In addition, the fuzzy failure probabilities using the fuzzy type-2 AHP method are the most reliable and accurate. As a result, the improved fault tree analysis can estimate uncertain expert opinion weights, identify and evaluate failure probability values for critical basic event. Therefore, suggestions for corrective measures to reduce the failure probability of the fire-fighting system are provided. The obtained results show that of the ten proposed corrective actions, the corrective action “use of periodic maintenance tests” prioritizes reliability, optimization and improvement of safety procedures.

Research limitations/implications

This study helps to determine the safest and most reliable corrective measures to improve the reliability of safety barriers. In addition, it also helps to protect people inside and outside the company from all kinds of major industrial accidents. Among the limitations of this study is that the cost of corrective actions is not taken into account.

Originality/value

Our contribution is to propose an integrated approach that uses interval type-2 fuzzy sets and AHP method and emergency event tree analysis to handle uncertainty in the failure probability assessment of emergency safety barriers. In addition, the integration of fault tree analysis and fuzzy ordered averaging aggregation helps to improve the reliability of the fire-fighting system and optimize the corrective actions that can improve the safety practices in liquefied petroleum gas storage tanks.

Keywords

Acknowledgements

The authors gratefully acknowledge the support provided by the SONATRACH petrochemical company and the liquefied petroleum gas unit in Algeria.

Citation

Samia, D. and Fares, I. (2024), "Optimization the reliability of emergency safety barriers based on the subjective safety analysis and evidential reasoning theory. Case study", International Journal of Quality & Reliability Management, Vol. 41 No. 1, pp. 1-41. https://doi.org/10.1108/IJQRM-11-2022-0336

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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