Identification and Evaluation of Human Errors Using Human Factor Analysis and Classification System based on Fuzzy Hierarchy Theory: A Case Study in the Cement Industry
Introduction: Human factors studies have shown that about 80% of the root causes of major accidents affecting safety, the environment or ergonomics are related to human error. The purpose of this study was to identify human errors using the HFACS method and the FAHP theory in cement industry. Metho...
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| Format: | Article |
| Language: | English |
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Shahid Sadoughi University of Medical Science
2019-11-01
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| Series: | طب کار |
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| Online Access: | http://tkj.ssu.ac.ir/article-1-963-en.html |
| _version_ | 1811223870352392192 |
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| author | davod afshari zohre jafarzadeh zeinab mosavianasl fereshteh jahani |
| author_facet | davod afshari zohre jafarzadeh zeinab mosavianasl fereshteh jahani |
| author_sort | davod afshari |
| collection | DOAJ |
| description | Introduction: Human factors studies have shown that about 80% of the root causes of major accidents affecting safety, the environment or ergonomics are related to human error. The purpose of this study was to identify human errors using the HFACS method and the FAHP theory in cement industry.
Methods: The present study was a retrospective study carried out in the cement industry. At first, RCA analysis of 95 incidents occurred during the past six years. Then, by integrating the human factors analysis and classification system technique ) HFACS(and the theory of fuzzy analytic hierarchy process ) FAHP( with 4 safety engineers The accident factory was analyzed.
Results: The results of this study show that the highest errors are related to the first level with a weight of 0.272, that is, the errors caused by unsafe acts, at this level of the subgroup "skill-based error" with a weight of 0.269, the 2nd level of the sub-group "industrial environment" with a weight of 0.155 , The 3rd subgroup of "inadequate supervision" with the weight of 0.352 and the 4th sub-category "resource management" with a weight of 0.393 have the highest impact on the levels.
Conclusion: The results showed that errors have various causes, including individual, activity, situational, and organizational errors that require careful planning and management to eliminate or reduce these errors. This error reduction, according to safety expert theory, Health and environment of the cement plant including the promotion and effectiveness of staff training, safety guidelines, improvement of staff performance monitoring, identification, evaluation and elimination of high-risk risks, improvement of management and equipment systems, changing safety attitudes, as well as enhancing safety attitudes. Awareness can help reduce the likelihood of human error in the organization. |
| first_indexed | 2024-04-12T08:40:56Z |
| format | Article |
| id | doaj.art-a05ab986ad1c4638988b0f6996925057 |
| institution | Directory Open Access Journal |
| issn | 2251-7189 2251-8274 |
| language | English |
| last_indexed | 2024-04-12T08:40:56Z |
| publishDate | 2019-11-01 |
| publisher | Shahid Sadoughi University of Medical Science |
| record_format | Article |
| series | طب کار |
| spelling | doaj.art-a05ab986ad1c4638988b0f69969250572022-12-22T03:39:54ZengShahid Sadoughi University of Medical Scienceطب کار2251-71892251-82742019-11-011114258Identification and Evaluation of Human Errors Using Human Factor Analysis and Classification System based on Fuzzy Hierarchy Theory: A Case Study in the Cement Industrydavod afshari0zohre jafarzadeh1zeinab mosavianasl2fereshteh jahani3 Ahvaz Jundishapur University of Medical Sciences Ahvaz Jundishapur University of Medical Sciences Department of Occupational Health and Safety Engineering, School of Health, Larestan University of Medical Sciences,Larestan ,Iran Department of Safety Engineering, Lamerd Higher Education Center, Lamerd, Iran. Introduction: Human factors studies have shown that about 80% of the root causes of major accidents affecting safety, the environment or ergonomics are related to human error. The purpose of this study was to identify human errors using the HFACS method and the FAHP theory in cement industry. Methods: The present study was a retrospective study carried out in the cement industry. At first, RCA analysis of 95 incidents occurred during the past six years. Then, by integrating the human factors analysis and classification system technique ) HFACS(and the theory of fuzzy analytic hierarchy process ) FAHP( with 4 safety engineers The accident factory was analyzed. Results: The results of this study show that the highest errors are related to the first level with a weight of 0.272, that is, the errors caused by unsafe acts, at this level of the subgroup "skill-based error" with a weight of 0.269, the 2nd level of the sub-group "industrial environment" with a weight of 0.155 , The 3rd subgroup of "inadequate supervision" with the weight of 0.352 and the 4th sub-category "resource management" with a weight of 0.393 have the highest impact on the levels. Conclusion: The results showed that errors have various causes, including individual, activity, situational, and organizational errors that require careful planning and management to eliminate or reduce these errors. This error reduction, according to safety expert theory, Health and environment of the cement plant including the promotion and effectiveness of staff training, safety guidelines, improvement of staff performance monitoring, identification, evaluation and elimination of high-risk risks, improvement of management and equipment systems, changing safety attitudes, as well as enhancing safety attitudes. Awareness can help reduce the likelihood of human error in the organization.http://tkj.ssu.ac.ir/article-1-963-en.htmlhuman errorcement factoryroot cause analysishfacs techniquefahp technique |
| spellingShingle | davod afshari zohre jafarzadeh zeinab mosavianasl fereshteh jahani Identification and Evaluation of Human Errors Using Human Factor Analysis and Classification System based on Fuzzy Hierarchy Theory: A Case Study in the Cement Industry طب کار human error cement factory root cause analysis hfacs technique fahp technique |
| title | Identification and Evaluation of Human Errors Using Human Factor Analysis and Classification System based on Fuzzy Hierarchy Theory: A Case Study in the Cement Industry |
| title_full | Identification and Evaluation of Human Errors Using Human Factor Analysis and Classification System based on Fuzzy Hierarchy Theory: A Case Study in the Cement Industry |
| title_fullStr | Identification and Evaluation of Human Errors Using Human Factor Analysis and Classification System based on Fuzzy Hierarchy Theory: A Case Study in the Cement Industry |
| title_full_unstemmed | Identification and Evaluation of Human Errors Using Human Factor Analysis and Classification System based on Fuzzy Hierarchy Theory: A Case Study in the Cement Industry |
| title_short | Identification and Evaluation of Human Errors Using Human Factor Analysis and Classification System based on Fuzzy Hierarchy Theory: A Case Study in the Cement Industry |
| title_sort | identification and evaluation of human errors using human factor analysis and classification system based on fuzzy hierarchy theory a case study in the cement industry |
| topic | human error cement factory root cause analysis hfacs technique fahp technique |
| url | http://tkj.ssu.ac.ir/article-1-963-en.html |
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