Literature DB >> 16107301

ARAMIS project: a more explicit demonstration of risk control through the use of bow-tie diagrams and the evaluation of safety barrier performance.

Valérie de Dianous1, Cécile Fiévez.   

Abstract

Over the last two decades a growing interest for risk analysis has been noted in the industries. The ARAMIS project has defined a methodology for risk assessment. This methodology has been built to help the industrialist to demonstrate that they have a sufficient risk control on their site. Risk analysis consists first in the identification of all the major accidents, assuming that safety functions in place are inefficient. This step of identification of the major accidents uses bow-tie diagrams. Secondly, the safety barriers really implemented on the site are taken into account. The barriers are identified on the bow-ties. An evaluation of their performance (response time, efficiency, and level of confidence) is performed to validate that they are relevant for the expected safety function. At last, the evaluation of their probability of failure enables to assess the frequency of occurrence of the accident. The demonstration of the risk control based on a couple gravity/frequency of occurrence is also possible for all the accident scenarios. During the risk analysis, a practical tool called risk graph is used to assess if the number and the reliability of the safety functions for a given cause are sufficient to reach a good risk control.

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Year:  2005        PMID: 16107301     DOI: 10.1016/j.jhazmat.2005.07.010

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  7 in total

1.  Mine safety assessment using gray relational analysis and bow tie model.

Authors:  Qingwei Xu; Kaili Xu
Journal:  PLoS One       Date:  2018-03-21       Impact factor: 3.240

2.  Improving Pallet Mover Safety in the Manufacturing Industry: A Bow-Tie Analysis of Accident Scenarios.

Authors:  Karolien van Nunen; Paul Swuste; Genserik Reniers; Nicola Paltrinieri; Olga Aneziris; Koen Ponnet
Journal:  Materials (Basel)       Date:  2018-10-12       Impact factor: 3.623

3.  Comprehensive evaluation system for stability of multiple dams in a uranium tailings reservoir: based on the TOPSIS model and bow tie model.

Authors:  Fuliang Jiang; Haonan Wu; Yong Liu; Guan Chen; Jintao Guo; Zhe Wang
Journal:  R Soc Open Sci       Date:  2020-04-08       Impact factor: 2.963

4.  Prioritising recommendations following analyses of adverse events in healthcare: a systematic review.

Authors:  Kelly Bos; Maarten J van der Laan; Dave A Dongelmans
Journal:  BMJ Open Qual       Date:  2020-10

Review 5.  Barriers Involved in the Safety Management Systems: A Systematic Review of Literature.

Authors:  Weiliang Qiao; Enze Huang; Hongtongyang Guo; Yang Liu; Xiaoxue Ma
Journal:  Int J Environ Res Public Health       Date:  2022-08-03       Impact factor: 4.614

6.  Fuzzy Bayesian Network-Bow-Tie Analysis of Gas Leakage during Biomass Gasification.

Authors:  Fang Yan; Kaili Xu; Xiwen Yao; Yang Li
Journal:  PLoS One       Date:  2016-07-27       Impact factor: 3.240

7.  Analysis of spatial planning documents and strategic environmental assessment reports with regard to hazards of major industrial accidents: a case study involving six Polish cities.

Authors:  Maria Teresa Markiewicz
Journal:  Environ Sci Pollut Res Int       Date:  2020-03-16       Impact factor: 4.223

  7 in total

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