Volume 5, Issue 1 (january 2021)                   AOH 2021, 5(1): 913-920 | Back to browse issues page

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Mousavi S M, Jahadi Naeini M, Yazdani Rad S, Haghighat M. Identification and Ranking of Noise Control Solutions by Using Fuzzy Delphi approach, Fuzzy Analytic Hierarchy Analysis (FAHP) and Fuzzy Vikor in an Oil Refinery. AOH. 2021; 5 (1) :913-920
URL: http://aoh.ssu.ac.ir/article-1-244-en.html
1- Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran , mahdi.mousavi93@gmail.com
2- Department of Occupational Health Engineering, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran
3- School of Public Health, Shahrekord University of Medical Sciences, Shahrekord, Iran
4- Department of Occupational Health Engineering, Behbahan Faculty of Medical Sciences, Behbahan,Iran
Abstract:   (719 Views)
Background: The aimed of this study was to identify and ranking noise control solutions by using fuzzy Delphi approach and FAHP-fuzzy vikor method in an oil refinery. Methods: This descriptive-analytical study was conducted in the catalytic conversion unit in an oil refinery. First, noise measurement was performed based on the standard to identify the sources of noise generating factors. Second, the criteria and initial solutions were identified by reviewing the texts and conducting interviews with experts and the most significant criteria and solutions for noise control were selected using the fuzzy Delphi method. Then, the criteria were weighed using the fuzzy analytic hierarchy method.  Finally, the control solutions were prioritized using fuzzy Vikor method. Results: The results of FAHP method indicated that cost with final weight (0.2796) had the highest weight and non-interference in the process with final weight (0.1107) had the lowest weight among the identified criteria. The ranking of noise control solutions with fuzzy Vickor method indicated that the construction of an acoustic room for workers exposed to weights (Q = 0) as the most appropriate solution for noise control and the method of modifying or changing the work process with the final weight (Q = 1) is the last noise control solution among the solutions identified in the studied refinery. Conclusion: The use of multi-criteria decision-making methods in selecting the appropriate solution for noise control can overcome the uncertainties in making an appropriate decision for selecting the best solution for noise control. In this study, a decision model was introduced for selecting the most appropriate noise control solution based on different criteria and this model can be used in other industries which should select a noise control solution.
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Type of Study: Research | Subject: Special
Received: 2020/11/3 | Accepted: 2021/01/9 | Published: 2021/01/9

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