Applying analytic hierarchy process and failure likelihood index method (AHP-FLIM) to assess human reliability in critical and sensitive jobs of a petrochemical industry
Background: Given that human error is the most important cause of industrial accidents, it seems necessary to identify and analyze human error, assess human reliability, and reduce errors or prevent unfortunate consequences. This study aimed to evaluate human reliability in a petrochemical industry....
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| Format: | Article |
| Language: | English |
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Elsevier
2022-05-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844022007976 |
| _version_ | 1818209375398920192 |
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| author | Asma Zare Naser Hoboubi Salman Farahbakhsh Mehdi Jahangiri |
| author_facet | Asma Zare Naser Hoboubi Salman Farahbakhsh Mehdi Jahangiri |
| author_sort | Asma Zare |
| collection | DOAJ |
| description | Background: Given that human error is the most important cause of industrial accidents, it seems necessary to identify and analyze human error, assess human reliability, and reduce errors or prevent unfortunate consequences. This study aimed to evaluate human reliability in a petrochemical industry. Methods: Critical and sensitive jobs were identified by interviewing the staff and supervisors of the industry. Then, the most important human errors and Performance Shaping Factors (PSFs) in each job group were identified. Using the Analytic Hierarchy Process (AHP), PSFs and human errors were weighed and prioritized. Next, the Failure Likelihood Index (FLI) was calculated for each of the human errors identified in the selected tasks. Finally, by converting this index to human error, human reliability was calculated. Results: Firefighters, site men, and mechanical repairmen had the highest risk and were selected to evaluate human reliability by the AHP-FLI method. Accordingly, six PSFs (training, experience, instruction, stress, task complexity, and environmental conditions) were identified as the most important factors in human error occurrence. The average human error probability was calculated as 0.019, 0.018, and 0.013 in the three job groups of firefighters, site men, and mechanical repairmen, respectively. Conclusion: This study showed that the AHP-FLI method could be a suitable method for assessing human reliability in the petrochemical industry since it could measure the impact of different PSFs on the probability of human error. |
| first_indexed | 2024-12-12T04:59:43Z |
| format | Article |
| id | doaj.art-56ed79c345ac4487a51ac5f0bd3dd044 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-12-12T04:59:43Z |
| publishDate | 2022-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-56ed79c345ac4487a51ac5f0bd3dd0442022-12-22T00:37:16ZengElsevierHeliyon2405-84402022-05-0185e09509Applying analytic hierarchy process and failure likelihood index method (AHP-FLIM) to assess human reliability in critical and sensitive jobs of a petrochemical industryAsma Zare0Naser Hoboubi1Salman Farahbakhsh2Mehdi Jahangiri3Department of Occupational Health Engineering, Sirjan School of Medical Sciences, Sirjan, IranStudent Research Committee, Department of Occupational Health Engineering, Shiraz University of Medical Sciences, Shiraz, IranDepartment of Occupational Health Engineering, Sirjan School of Medical Sciences, Sirjan, IranResearch Center for Health Sciences, Department of Occupational Health Engineering, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran; Corresponding author.Background: Given that human error is the most important cause of industrial accidents, it seems necessary to identify and analyze human error, assess human reliability, and reduce errors or prevent unfortunate consequences. This study aimed to evaluate human reliability in a petrochemical industry. Methods: Critical and sensitive jobs were identified by interviewing the staff and supervisors of the industry. Then, the most important human errors and Performance Shaping Factors (PSFs) in each job group were identified. Using the Analytic Hierarchy Process (AHP), PSFs and human errors were weighed and prioritized. Next, the Failure Likelihood Index (FLI) was calculated for each of the human errors identified in the selected tasks. Finally, by converting this index to human error, human reliability was calculated. Results: Firefighters, site men, and mechanical repairmen had the highest risk and were selected to evaluate human reliability by the AHP-FLI method. Accordingly, six PSFs (training, experience, instruction, stress, task complexity, and environmental conditions) were identified as the most important factors in human error occurrence. The average human error probability was calculated as 0.019, 0.018, and 0.013 in the three job groups of firefighters, site men, and mechanical repairmen, respectively. Conclusion: This study showed that the AHP-FLI method could be a suitable method for assessing human reliability in the petrochemical industry since it could measure the impact of different PSFs on the probability of human error.http://www.sciencedirect.com/science/article/pii/S2405844022007976Human reliability assessmentHuman errorPetrochemical industryAHP-FLIM |
| spellingShingle | Asma Zare Naser Hoboubi Salman Farahbakhsh Mehdi Jahangiri Applying analytic hierarchy process and failure likelihood index method (AHP-FLIM) to assess human reliability in critical and sensitive jobs of a petrochemical industry Heliyon Human reliability assessment Human error Petrochemical industry AHP-FLIM |
| title | Applying analytic hierarchy process and failure likelihood index method (AHP-FLIM) to assess human reliability in critical and sensitive jobs of a petrochemical industry |
| title_full | Applying analytic hierarchy process and failure likelihood index method (AHP-FLIM) to assess human reliability in critical and sensitive jobs of a petrochemical industry |
| title_fullStr | Applying analytic hierarchy process and failure likelihood index method (AHP-FLIM) to assess human reliability in critical and sensitive jobs of a petrochemical industry |
| title_full_unstemmed | Applying analytic hierarchy process and failure likelihood index method (AHP-FLIM) to assess human reliability in critical and sensitive jobs of a petrochemical industry |
| title_short | Applying analytic hierarchy process and failure likelihood index method (AHP-FLIM) to assess human reliability in critical and sensitive jobs of a petrochemical industry |
| title_sort | applying analytic hierarchy process and failure likelihood index method ahp flim to assess human reliability in critical and sensitive jobs of a petrochemical industry |
| topic | Human reliability assessment Human error Petrochemical industry AHP-FLIM |
| url | http://www.sciencedirect.com/science/article/pii/S2405844022007976 |
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