Identification and evaluation of performance indicators affecting human error, based on fuzzy logic (An operation center of Gas transmission company)
Background: One of the assumptions which not discussed in all methods of reliability analysis is that human performance depends on the conditions under which tasks and activities could performed. This condition could be related to both specific and environmental factors. In general, the performance...
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| Format: | Article |
| Language: | English |
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Shahid Sadoughi University of Medical Science
2013-12-01
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| Series: | طب کار |
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| Online Access: | http://tkj.ssu.ac.ir/article-1-246-en.pdf |
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| author | M Kiani I Mohammad Fam T Allahviranloo |
| author_facet | M Kiani I Mohammad Fam T Allahviranloo |
| author_sort | M Kiani |
| collection | DOAJ |
| description | Background: One of the assumptions which not discussed in all methods of reliability analysis is that human performance depends on the conditions under which tasks and activities could performed. This condition could be related to both specific and environmental factors. In general, the performance shaping factors (PSFs), or factors influencing performance (PIFs) returns the state to promote safety and reduce human error, so identify and evaluate these factors is considered as a necessity.
Methods: This study is a case study in the control room. Three operational gas transmission companies has been implemented. To conduct this research, initially focused on the identification and selection of factors affecting the performance required for data collection, preparation and completion of a questionnaire, and finally the analysis was done using fuzzy logic.
Results: Analysis of the questionnaires showed that in the opinion of the control room operators, the quality of "number of simulation goals" and "available time" is acceptable, and "the adequacy of training and experience" is not acceptable.
Conclusion: Identify and assess the factors affecting the performance of various industries using fuzzy analysis method is extremely useful to reduce human error. |
| format | Article |
| id | doaj-art-84e6e135f7b544ccafcbb6d670b796de |
| institution | Kabale University |
| issn | 2251-7189 2251-8274 |
| language | English |
| publishDate | 2013-12-01 |
| publisher | Shahid Sadoughi University of Medical Science |
| record_format | Article |
| series | طب کار |
| spelling | doaj-art-84e6e135f7b544ccafcbb6d670b796de2025-08-25T05:53:01ZengShahid Sadoughi University of Medical Scienceطب کار2251-71892251-82742013-12-01546067Identification and evaluation of performance indicators affecting human error, based on fuzzy logic (An operation center of Gas transmission company)M Kiani0I Mohammad Fam1T Allahviranloo2 Science & Research branch,Islamic Azad university,Tehran,Iran Hamedan medical science university Science & Research branch,Islamic Azad university,Tehran,Iran Background: One of the assumptions which not discussed in all methods of reliability analysis is that human performance depends on the conditions under which tasks and activities could performed. This condition could be related to both specific and environmental factors. In general, the performance shaping factors (PSFs), or factors influencing performance (PIFs) returns the state to promote safety and reduce human error, so identify and evaluate these factors is considered as a necessity. Methods: This study is a case study in the control room. Three operational gas transmission companies has been implemented. To conduct this research, initially focused on the identification and selection of factors affecting the performance required for data collection, preparation and completion of a questionnaire, and finally the analysis was done using fuzzy logic. Results: Analysis of the questionnaires showed that in the opinion of the control room operators, the quality of "number of simulation goals" and "available time" is acceptable, and "the adequacy of training and experience" is not acceptable. Conclusion: Identify and assess the factors affecting the performance of various industries using fuzzy analysis method is extremely useful to reduce human error.http://tkj.ssu.ac.ir/article-1-246-en.pdfperformance influencing factors (pifs)fuzzy logichuman reliabilityhuman error |
| spellingShingle | M Kiani I Mohammad Fam T Allahviranloo Identification and evaluation of performance indicators affecting human error, based on fuzzy logic (An operation center of Gas transmission company) طب کار performance influencing factors (pifs) fuzzy logic human reliability human error |
| title | Identification and evaluation of performance indicators affecting human error, based on fuzzy logic (An operation center of Gas transmission company) |
| title_full | Identification and evaluation of performance indicators affecting human error, based on fuzzy logic (An operation center of Gas transmission company) |
| title_fullStr | Identification and evaluation of performance indicators affecting human error, based on fuzzy logic (An operation center of Gas transmission company) |
| title_full_unstemmed | Identification and evaluation of performance indicators affecting human error, based on fuzzy logic (An operation center of Gas transmission company) |
| title_short | Identification and evaluation of performance indicators affecting human error, based on fuzzy logic (An operation center of Gas transmission company) |
| title_sort | identification and evaluation of performance indicators affecting human error based on fuzzy logic an operation center of gas transmission company |
| topic | performance influencing factors (pifs) fuzzy logic human reliability human error |
| url | http://tkj.ssu.ac.ir/article-1-246-en.pdf |
| work_keys_str_mv | AT mkiani identificationandevaluationofperformanceindicatorsaffectinghumanerrorbasedonfuzzylogicanoperationcenterofgastransmissioncompany AT imohammadfam identificationandevaluationofperformanceindicatorsaffectinghumanerrorbasedonfuzzylogicanoperationcenterofgastransmissioncompany AT tallahviranloo identificationandevaluationofperformanceindicatorsaffectinghumanerrorbasedonfuzzylogicanoperationcenterofgastransmissioncompany |