Volume 14, Issue 1 (3-2024)
J Health Saf Work 2024, 14(1): 119-134 |
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Maleki Roveshti M, Naghavi-Konjin Z, Etemadinezhad S, Yazdani Charati J. Risk analysis of the steel erection process using the Functional Resonance Analysis Method. J Health Saf Work 2024; 14 (1) :119-134
URL: http://jhsw.tums.ac.ir/article-1-6943-en.html
URL: http://jhsw.tums.ac.ir/article-1-6943-en.html
Mehran Maleki Roveshti1 
, Zahra Naghavi-Konjin * 2, Siavash Etemadinezhad1 , Jamshid Yazdani Charati3
, Zahra Naghavi-Konjin * 2, Siavash Etemadinezhad1 , Jamshid Yazdani Charati3
1- Department of Occupational Health and Safety Engineering, School of Public Health, Mazandaran University of Medical Sciences, Sari, Iran
2- Department of Occupational Health and Safety Engineering, School of Public Health, Mazandaran University of Medical Sciences, Sari, Iran ,z.naghavi@mazums.ac.ir
3- Department of Biostatistics, School of Public Health, Mazandaran University of Medical Sciences, Sari, Iran
2- Department of Occupational Health and Safety Engineering, School of Public Health, Mazandaran University of Medical Sciences, Sari, Iran ,
3- Department of Biostatistics, School of Public Health, Mazandaran University of Medical Sciences, Sari, Iran
Abstract: (429 Views)
Introduction: Steel erection is known as one of the most hazardous construction activities. From an occupational health and safety perspective, this process carries high risk. Therefore, this study aims to conduct a qualitative risk analysis of steel structure assembly and model it using the Functional Resonance Analysis Method (FRAM).
Material and Methods: In this cross-sectional study, the construction site of a high-rise building steel structure was first visited to identify the main processes involved. Then, semi-structured and open-ended interviews were conducted with 33 workers partaking in this process. Data from the interviews and process identification were entered into FRAM Model Visualiser (FMV) software to investigate and model complex relationships and interactions between daily tasks.
Results: Of the 19 major system component functions identified, four functions had potential instability and defects due to complex human, organizational, and technological function interactions. By intensifying the FRAM graphic model, risks may be imposed on the system if the interactions of these four functions are neglected. These include coordination with the experienced rigger, preparation of the tower crane, attachment of parts at the installation site, and execution of the rescue rope.
Conclusion: The findings demonstrate that conducting qualitative risk assessment and modeling the steel frame construction process using FRAM allows for an in-depth understanding of nonlinear conditions and dynamics resulting from escalating technical-social interactions. This approach enables a comprehensive analysis of system safety status.
Material and Methods: In this cross-sectional study, the construction site of a high-rise building steel structure was first visited to identify the main processes involved. Then, semi-structured and open-ended interviews were conducted with 33 workers partaking in this process. Data from the interviews and process identification were entered into FRAM Model Visualiser (FMV) software to investigate and model complex relationships and interactions between daily tasks.
Results: Of the 19 major system component functions identified, four functions had potential instability and defects due to complex human, organizational, and technological function interactions. By intensifying the FRAM graphic model, risks may be imposed on the system if the interactions of these four functions are neglected. These include coordination with the experienced rigger, preparation of the tower crane, attachment of parts at the installation site, and execution of the rescue rope.
Conclusion: The findings demonstrate that conducting qualitative risk assessment and modeling the steel frame construction process using FRAM allows for an in-depth understanding of nonlinear conditions and dynamics resulting from escalating technical-social interactions. This approach enables a comprehensive analysis of system safety status.
Type of Study: Research |
Received: 2024/03/28 | Accepted: 2024/03/29 | Published: 2024/03/29
Received: 2024/03/28 | Accepted: 2024/03/29 | Published: 2024/03/29
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