Fuzzy-based Prioritization of Health, Safety, and Environmental Risks: The Case of a Large Gas Refinery

The main objective of this study was to develop a fuzzy–based framework for the prioritization of health, safety and environment related risks posed against employees, working conditions, and process equipment in large gas refineries. The First Refinery at Pars Special Economic Energy Zone in South...

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Main Authors: Auob Mirsaeidi, Hossein Moradi, Maryam Zekri
Format: Article
Language:English
Published: Iranian Journal of Health, Safety and Environment 2017-01-01
Series:Iranian Journal of Health, Safety and Environment
Subjects:
Online Access:http://www.ijhse.ir/index.php/IJHSE/article/view/190
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spelling doaj-c3faf19bcdab4edbbeeb86f82154040f2020-11-24T23:24:37ZengIranian Journal of Health, Safety and EnvironmentIranian Journal of Health, Safety and Environment2345-32062345-55352017-01-0141641653105Fuzzy-based Prioritization of Health, Safety, and Environmental Risks: The Case of a Large Gas RefineryAuob Mirsaeidi0Hossein Moradi1Maryam Zekri2Department of Natural resources, Isfahan University of TechnologyDepartment of Natural resources, Isfahan University of TechnologyDepartment of Natural resources, Isfahan University of TechnologyThe main objective of this study was to develop a fuzzy–based framework for the prioritization of health, safety and environment related risks posed against employees, working conditions, and process equipment in large gas refineries. The First Refinery at Pars Special Economic Energy Zone in South of Iran was taken as a case study. For this purpose, health, safety and environment related risks were determined based on the three criteria of impact severity, occurrence probability, and detect-ability using a questionnaire of 33 identified failures. The values obtained were processed by a so-called ‘contribution coefficient’. The results were then subjected to fuzzification and fuzzy rules were defined to calculate the risk level indices as the model outputs, which was then employed to facilitate the management decision-making process by prioritizing the management options. The prioritization values were then classified in six categories in the order of risk severity. Results revealed that failure in a combustion furnace had the highest rank while failure in the slug catcher ranked the lowest among the risk sources. It was also found that about 0.4% of the identified risks prioritized as “intolerable”, 79% as “major”, 20% as “tolerable”, and 0.7% as “minor”. Thus, most of the risks (more than 79%) associated with the refinery has the potential of significant risks. The results indicated that the risk of the pollutant emissions from the combustion furnaces is the highest. Exposures to harmful physical, chemical, psychological, and ergonomic substances are the other risks, respectively.http://www.ijhse.ir/index.php/IJHSE/article/view/190Failures, Fuzzy Logic, Process Operations, Gas Refinery
collection DOAJ
language English
format Article
sources DOAJ
author Auob Mirsaeidi
Hossein Moradi
Maryam Zekri
spellingShingle Auob Mirsaeidi
Hossein Moradi
Maryam Zekri
Fuzzy-based Prioritization of Health, Safety, and Environmental Risks: The Case of a Large Gas Refinery
Iranian Journal of Health, Safety and Environment
Failures, Fuzzy Logic, Process Operations, Gas Refinery
author_facet Auob Mirsaeidi
Hossein Moradi
Maryam Zekri
author_sort Auob Mirsaeidi
title Fuzzy-based Prioritization of Health, Safety, and Environmental Risks: The Case of a Large Gas Refinery
title_short Fuzzy-based Prioritization of Health, Safety, and Environmental Risks: The Case of a Large Gas Refinery
title_full Fuzzy-based Prioritization of Health, Safety, and Environmental Risks: The Case of a Large Gas Refinery
title_fullStr Fuzzy-based Prioritization of Health, Safety, and Environmental Risks: The Case of a Large Gas Refinery
title_full_unstemmed Fuzzy-based Prioritization of Health, Safety, and Environmental Risks: The Case of a Large Gas Refinery
title_sort fuzzy-based prioritization of health, safety, and environmental risks: the case of a large gas refinery
publisher Iranian Journal of Health, Safety and Environment
series Iranian Journal of Health, Safety and Environment
issn 2345-3206
2345-5535
publishDate 2017-01-01
description The main objective of this study was to develop a fuzzy–based framework for the prioritization of health, safety and environment related risks posed against employees, working conditions, and process equipment in large gas refineries. The First Refinery at Pars Special Economic Energy Zone in South of Iran was taken as a case study. For this purpose, health, safety and environment related risks were determined based on the three criteria of impact severity, occurrence probability, and detect-ability using a questionnaire of 33 identified failures. The values obtained were processed by a so-called ‘contribution coefficient’. The results were then subjected to fuzzification and fuzzy rules were defined to calculate the risk level indices as the model outputs, which was then employed to facilitate the management decision-making process by prioritizing the management options. The prioritization values were then classified in six categories in the order of risk severity. Results revealed that failure in a combustion furnace had the highest rank while failure in the slug catcher ranked the lowest among the risk sources. It was also found that about 0.4% of the identified risks prioritized as “intolerable”, 79% as “major”, 20% as “tolerable”, and 0.7% as “minor”. Thus, most of the risks (more than 79%) associated with the refinery has the potential of significant risks. The results indicated that the risk of the pollutant emissions from the combustion furnaces is the highest. Exposures to harmful physical, chemical, psychological, and ergonomic substances are the other risks, respectively.
topic Failures, Fuzzy Logic, Process Operations, Gas Refinery
url http://www.ijhse.ir/index.php/IJHSE/article/view/190
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