golkhani, fateme, Abbasi Balochkhaneh, Faezeh, Saadati, Maryam, Doost Mohammadi, Ali, Dashti Rahmat Abadi, Somaye, Ghotbi Ravandi, Mohammad Reza, Baesmat, Saeed (2025). Identifying, Assessment and Prioritization of the Existing or Potential Hazards in the Automotive Industry by Combining Three Methods: FMEA, Wiliam Fine and AHP. , 5(1), 31-38.
fateme golkhani; Faezeh Abbasi Balochkhaneh; Maryam Saadati; Ali Doost Mohammadi; Somaye Dashti Rahmat Abadi; Mohammad Reza Ghotbi Ravandi; Saeed Baesmat. "Identifying, Assessment and Prioritization of the Existing or Potential Hazards in the Automotive Industry by Combining Three Methods: FMEA, Wiliam Fine and AHP". , 5, 1, 2025, 31-38.
golkhani, fateme, Abbasi Balochkhaneh, Faezeh, Saadati, Maryam, Doost Mohammadi, Ali, Dashti Rahmat Abadi, Somaye, Ghotbi Ravandi, Mohammad Reza, Baesmat, Saeed (2025). 'Identifying, Assessment and Prioritization of the Existing or Potential Hazards in the Automotive Industry by Combining Three Methods: FMEA, Wiliam Fine and AHP', , 5(1), pp. 31-38.
golkhani, fateme, Abbasi Balochkhaneh, Faezeh, Saadati, Maryam, Doost Mohammadi, Ali, Dashti Rahmat Abadi, Somaye, Ghotbi Ravandi, Mohammad Reza, Baesmat, Saeed Identifying, Assessment and Prioritization of the Existing or Potential Hazards in the Automotive Industry by Combining Three Methods: FMEA, Wiliam Fine and AHP. , 2025; 5(1): 31-38.

Identifying, Assessment and Prioritization of the Existing or Potential Hazards in the Automotive Industry by Combining Three Methods: FMEA, Wiliam Fine and AHP

Health Education and Health Promotion
Article 4, Volume 5, Issue 1, 2017, Pages 31-38    PDF (195.24 K)
Authors
fateme golkhani1; Faezeh Abbasi Balochkhaneh2; Maryam Saadati3; Ali Doost Mohammadi4; Somaye Dashti Rahmat Abadi1; Mohammad Reza Ghotbi Ravandi5; Saeed Baesmat* 1
1B.Sc., Department of Occupational Health, Kerman School of Public Health, Kerman University of Medical Sciences, Kerman, Iran
2BSc, Department of Occupational Health, School of Public Health, Semnan University of Medical Sciences, Semnan, Iran
3B.Sc., Department of Occupational Health, School of Public Health, Semnan University of Medical Sciences, Semnan, Iran
4MD, Department of Occupational Health, Islamic Azad University, Sabzevar Branch, Sabzevar, Iran
5Associate Professor, Department of Occupational Health, Kerman School of Public Health, Kerman University of Medical Sciences, Kerman, Iran
Abstract
Aim: Every year, a huge number of incidents of irreparable damage to personnel and industries occur, most of which are predictable with identifying hazards as well as risk assessment and control. Therefore, in order to prevent occupational accidents, the automotive industry is one of the top priorities for evaluating and identifying the hazards.
Methods: The purpose of this study is to identify, control and rank the hazards of actions and processes in the hazardous automotive industry. This descriptive-analytical study was carried out in 2017 in one unit of Iran Khodro Company by using FMEA method. Also to accurately assess the health risks and make decisions for corrective actions to prioritize hazard risks, Wiliam Fine and AHP (Analytical Hierarchy Process) methods were used, respectively.
Findings: In this research, a list of 301 risks in 7 units including cutting line, assembly line, prototyping and modification, manufacturing, packaging, quality control, laboratory, and repair and maintenance were provided. The results of FMEA method indicated that the highest risk priority number (RPN) is related to the risks of particle swirling in grinding operations (336). Moreover, based on the results of William Fine method, the exposure to noise in the Kissing & Wessich Sersim Strandbauft operation was rated at 540 and 500, respectively, with the highest risk of evaluation. The risk of exposure to noise (Kicking operation) with a relative weight of 0/1904 was ranked the first.
Conclusion: The results of the hazard analysis showed that the effect of noise pollution that leads to hearing impairment in the staff is very high.
Keywords
Automotive Industry; William Fine method; Noise exposure
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