Journal of Occupational
Health and Epidemiology
Rafsanjan university Of medical sciences
Volume 13, Issue 2 (Spring 2024)
J Occup Health Epidemiol 2024, 13(2): 107-118 |
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Ethics code: IR.SBMU.PHNS.REC.1400.173.
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Alboghobeish A, Azimi H R, Shirali G, Pouyakian M. Identifying Emerging Risks Using the Functional Resonance Analysis Method (Fram): A Case Study of an Air Separation Unit in a Steel Company. J Occup Health Epidemiol 2024; 13 (2) :107-118
URL: http://johe.rums.ac.ir/article-1-793-en.html
URL: http://johe.rums.ac.ir/article-1-793-en.html
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1- Ph.D. Student in Occupational Health & Safety, Dept. of Occupational Health & Safety at work, School of Public Health & Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
2- M.Sc. in Occupational Health & Safety Engineering, Dept. of Occupational Health & Safety at work, School of Public Health & Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
3- Prof., Dept. of Occupational Health Engineering, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
4- Prof., Dept. of Occupational Health & Safety at work, School of Public Health & Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran. ,mpouyakian@gmail.com
2- M.Sc. in Occupational Health & Safety Engineering, Dept. of Occupational Health & Safety at work, School of Public Health & Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
3- Prof., Dept. of Occupational Health Engineering, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
4- Prof., Dept. of Occupational Health & Safety at work, School of Public Health & Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran. ,
Article history
Received: 2023/10/2
Accepted: 2024/01/22
ePublished: 2024/09/1
Accepted: 2024/01/22
ePublished: 2024/09/1
Subject:
Occupational Health
Abstract: (101 Views)
Background: Socio-technical systems are inherently complex, non-linear, uncertain, and dynamic. The complexity of the relationships between the components of these systems is unfathomable, and it is very difficult to predict, model, and analyze their components. In such systems, safety is not a linear and direct process. Thus, the purpose of this study was to identify emerging risks using the Functional Resonance Analysis Method (FRAM), which can provide a new perspective in completing traditional risk analysis methods.
Materials and Methods: The study analyzed the air separation unit process in a steel industry for performance resonance by collecting data through field studies and expert opinions. Using the FRAM method, risks associated with the unit process were evaluated and analyzed.
Results: Ten essential functions of the system were identified. The results revealed that the two functions of "air compression" and "distribution and storage" had high variability, and a high resonance was observed in these two functions. The other functions also indicated moderate and low variability.
Conclusions: The study identified ten essential functions in an air separation unit, with “air compression,” “distribution,” and “storage” showing high variability and resonance. Improving their consistency and reliability could benefit the system. Other functions had moderate to low variability. Future work should focus on optimizing all functions, especially those with high variability, to address tight interactions and resonance issues. The analysis offers a functional map for targeted system improvements.
Materials and Methods: The study analyzed the air separation unit process in a steel industry for performance resonance by collecting data through field studies and expert opinions. Using the FRAM method, risks associated with the unit process were evaluated and analyzed.
Results: Ten essential functions of the system were identified. The results revealed that the two functions of "air compression" and "distribution and storage" had high variability, and a high resonance was observed in these two functions. The other functions also indicated moderate and low variability.
Conclusions: The study identified ten essential functions in an air separation unit, with “air compression,” “distribution,” and “storage” showing high variability and resonance. Improving their consistency and reliability could benefit the system. Other functions had moderate to low variability. Future work should focus on optimizing all functions, especially those with high variability, to address tight interactions and resonance issues. The analysis offers a functional map for targeted system improvements.
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