Repository of Research and Investigative Information

Repository of Research and Investigative Information

Larestan University of Medical Sciences

A fuzzy-HAZOP/ant colony system methodology to identify combined fire, explosion, and toxic release risk in the process industries

(2022) A fuzzy-HAZOP/ant colony system methodology to identify combined fire, explosion, and toxic release risk in the process industries. Expert Systems with Applications. p. 16. ISSN 0957-4174

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Abstract

This study introduces a hybrid approach that merges a fuzzy HAzard and OPerability (fuzzy-HAZOP) technique, an Ant Colony System (ACS), and fuzzy set theory to evaluate the coupling of fire, explosion, and toxic release risk in the process industries. The fuzzy-HAZOP technique enhances the evaluation of process deviation risks by incorporating other, fundamental, aspects of risk. The ACS method is applied to provide comprehensive rules that take into account the complex relationships between operative parameter deviations, safety control failures, and the fuzzy set theory is used to reduce vagueness, ambiguity, inaccuracy, and uncertainty in expert assessments. Our hybrid method is applied to an example from the gas refinery industry. The results show that it outperforms the fuzzy set method when evaluating joint fire, explosion, and toxic release risk. Our approach is not only practical, but experts can also apply it in other industries where there is a need to assess joint fire, explosion, and toxic release risk.

Item Type: Article
Keywords: Fire Explosion Toxic release ACS Fuzzy set Risk Evaluation fault-tree analysis ant colony bayesian network hazard identification process safety oil accidents optimization reliability operations Computer Science Engineering Operations Research & Management Science
Divisions: Education Vice-Chancellor Department > Faculty of Health > Department of Occupational Health
Page Range: p. 16
Journal or Publication Title: Expert Systems with Applications
Journal Index: ISI
Volume: 192
Identification Number: https://doi.org/10.1016/j.eswa.2021.116418
ISSN: 0957-4174
Depositing User: مهندس مهدی شریفی
URI: http://eprints.larums.ac.ir/id/eprint/411

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