Assessment of Safety Performance in a Food Industry using a Fuzzy Logic
Background and Objective: Assessment of safety performance in a work environment is one of the most important steps in establishing optimal safety conditions in an organization. The present study aimed to assess safety performance in a food industry. Materials and Methods: This cross-sectional study...
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| Format: | Article |
| Language: | fas |
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Hamadan University of Medical Sciences
2023-05-01
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| Series: | Muhandisī-i bihdāsht-i ḥirfah/ī |
| Subjects: | |
| Online Access: | http://johe.umsha.ac.ir/article-1-834-en.pdf |
| _version_ | 1827808571332493312 |
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| author | Mohammad Mahmoudi Ahmad Soltanzadeh Samira Ghiyasi Mona Ghafourian |
| author_facet | Mohammad Mahmoudi Ahmad Soltanzadeh Samira Ghiyasi Mona Ghafourian |
| author_sort | Mohammad Mahmoudi |
| collection | DOAJ |
| description | Background and Objective: Assessment of safety performance in a work environment is one of the most important steps in establishing optimal safety conditions in an organization. The present study aimed to assess safety performance in a food industry.
Materials and Methods: This cross-sectional study was conducted in a large food industry in 2021. The sample size in this study was calculated as 231 individuals using Cochran's formula with an accuracy of 0.05. The studied variables included two groups of reactive (safety training, risk assessment, and control) and reactive (type of accidents, unsafe conditions, and acts) performance indicators, as well as the final safety performance index. The numerical range of this index was 0.2 to 5.0.
Results: The final safety performance index was evaluated as 1.76 in this food industry. The results revealed that the amount of six groups of safety performance indicators including risk assessment (4.01), risk control (3.93), safety training (3.85), type of accidents (2.47), unsafe acts (2.17), and unsafe conditions (2.05) were respectively estimated in this industry. In addition, the lowest and highest indicators were related to unsafe equipment (0.13) and use of personal protective equipment (2.09), respectively among the 32 evaluated indicators.
Conclusion: The findings of the study indicated that although the level of safety performance in this food industry is not unfavorable, practical and beneficial measures should be implemented in line with the six groups and 32 indicators to achieve a favorable safety performance index. |
| first_indexed | 2024-03-11T22:30:06Z |
| format | Article |
| id | doaj.art-a012b62817c744b29dbc236a72d905d5 |
| institution | Directory Open Access Journal |
| issn | 2383-3378 |
| language | fas |
| last_indexed | 2024-03-11T22:30:06Z |
| publishDate | 2023-05-01 |
| publisher | Hamadan University of Medical Sciences |
| record_format | Article |
| series | Muhandisī-i bihdāsht-i ḥirfah/ī |
| spelling | doaj.art-a012b62817c744b29dbc236a72d905d52023-09-23T10:00:09ZfasHamadan University of Medical SciencesMuhandisī-i bihdāsht-i ḥirfah/ī2383-33782023-05-01101916Assessment of Safety Performance in a Food Industry using a Fuzzy LogicMohammad Mahmoudi0Ahmad Soltanzadeh1Samira Ghiyasi2Mona Ghafourian3 Department of Health Safety and Environment (HSE), Faculty of Technology and Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran Department of Occupational Safety and Hygiene Engineering, Research Center for Environmental Pollutants, Faculty of Health, Qom University of Medical Sciences, Qom, Iran Department of Environmental Engineering, Faculty of Technology and Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran Department of Occupational Health Engineering, Shahr-e-Rey Health and Medical Network, Tehran University of Medical Sciences, Tehran, Iran Background and Objective: Assessment of safety performance in a work environment is one of the most important steps in establishing optimal safety conditions in an organization. The present study aimed to assess safety performance in a food industry. Materials and Methods: This cross-sectional study was conducted in a large food industry in 2021. The sample size in this study was calculated as 231 individuals using Cochran's formula with an accuracy of 0.05. The studied variables included two groups of reactive (safety training, risk assessment, and control) and reactive (type of accidents, unsafe conditions, and acts) performance indicators, as well as the final safety performance index. The numerical range of this index was 0.2 to 5.0. Results: The final safety performance index was evaluated as 1.76 in this food industry. The results revealed that the amount of six groups of safety performance indicators including risk assessment (4.01), risk control (3.93), safety training (3.85), type of accidents (2.47), unsafe acts (2.17), and unsafe conditions (2.05) were respectively estimated in this industry. In addition, the lowest and highest indicators were related to unsafe equipment (0.13) and use of personal protective equipment (2.09), respectively among the 32 evaluated indicators. Conclusion: The findings of the study indicated that although the level of safety performance in this food industry is not unfavorable, practical and beneficial measures should be implemented in line with the six groups and 32 indicators to achieve a favorable safety performance index.http://johe.umsha.ac.ir/article-1-834-en.pdffood industryperformance evaluationsafetysafety index |
| spellingShingle | Mohammad Mahmoudi Ahmad Soltanzadeh Samira Ghiyasi Mona Ghafourian Assessment of Safety Performance in a Food Industry using a Fuzzy Logic Muhandisī-i bihdāsht-i ḥirfah/ī food industry performance evaluation safety safety index |
| title | Assessment of Safety Performance in a Food Industry using a Fuzzy Logic |
| title_full | Assessment of Safety Performance in a Food Industry using a Fuzzy Logic |
| title_fullStr | Assessment of Safety Performance in a Food Industry using a Fuzzy Logic |
| title_full_unstemmed | Assessment of Safety Performance in a Food Industry using a Fuzzy Logic |
| title_short | Assessment of Safety Performance in a Food Industry using a Fuzzy Logic |
| title_sort | assessment of safety performance in a food industry using a fuzzy logic |
| topic | food industry performance evaluation safety safety index |
| url | http://johe.umsha.ac.ir/article-1-834-en.pdf |
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