Volume 12, Issue 3 (9-2022)
J Health Saf Work 2022, 12(3): 632-651 |
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Hokmabadi R, Zarei E, Karimi A. Identifying, Assessing and Prioritizing Pressure Reduction Station Risks Using FMEA Based on SWARA-VIKOR Multi-criteria Decision-making Methods. J Health Saf Work 2022; 12 (3) :632-651
URL: http://jhsw.tums.ac.ir/article-1-6745-en.html
URL: http://jhsw.tums.ac.ir/article-1-6745-en.html
1- Department of Occupational Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran | Department of Occupational Health Engineering, School of Public Health, North Khorasan University of Medical Sciences, Bojnurd, Iran
2- Centre for Risk, Integrity and Safety Engineering (C-RISE), Process Engineering Department, Faculty of Engineering and Applied Science Memorial University of Newfoundland, Canada
3- Centre for Risk, Integrity and Safety Engineering (C-RISE), Process Engineering Department, Faculty of Engineering and Applied Science Memorial University of Newfoundland, Canada ,a_karimi@sina.tums.ac.ir
2- Centre for Risk, Integrity and Safety Engineering (C-RISE), Process Engineering Department, Faculty of Engineering and Applied Science Memorial University of Newfoundland, Canada
3- Centre for Risk, Integrity and Safety Engineering (C-RISE), Process Engineering Department, Faculty of Engineering and Applied Science Memorial University of Newfoundland, Canada ,
Abstract: (1317 Views)
Introduction: Failure modes and effects analysis (FMEA) method is used in industries to identify, assess and prioritize risks. Multi-criteria decision-making methods (MCDM) select the best option from different criteria. Therefore, this study aims to identify, assess and prioritize risks using FMEA based on SWARA-VIKOR multi-criteria decision-making methods in a gas pressure reduction station.
Material and Methods: In this descriptive and analytical study, stepwise weight assessment ratio analysis (SWARA) and decision-making optimization and compromise solution (VIKOR) methods were used to rank the risks of failure modes identified in FMEA. SWARA method was employed to determine the severity, probability and discovery weights, and VIKOR technique was applied to rank the failure modes of the system equipment. Finally, an operational example of the pressure reduction station was presented to show the application and feasibility of the proposed model. A comparative study was conducted to confirm the practicality and effectiveness of the proposed model.
Results: In total, 35 main failure modes were identified in the pressure reduction station. Failure of regulator sleeve and safety valve and regulator diaphragm rupture were assigned the first, second and third ranks of risk priority, respectively. The sensitivity analysis results showed the proposed approach had desirable stability and only the failure mode of increasing the heater flame temperature was very sensitive to changes in the weight of the criteria. Results of ranking the failure modes of the station indicated there were many changes in the ranking of failure modes based on the proposed approach.
Conclusion: The proposed approach could provide more reasonable and accurate results for ranking risks because the criteria were weighed step by step based on the experts’ opinion.
Material and Methods: In this descriptive and analytical study, stepwise weight assessment ratio analysis (SWARA) and decision-making optimization and compromise solution (VIKOR) methods were used to rank the risks of failure modes identified in FMEA. SWARA method was employed to determine the severity, probability and discovery weights, and VIKOR technique was applied to rank the failure modes of the system equipment. Finally, an operational example of the pressure reduction station was presented to show the application and feasibility of the proposed model. A comparative study was conducted to confirm the practicality and effectiveness of the proposed model.
Results: In total, 35 main failure modes were identified in the pressure reduction station. Failure of regulator sleeve and safety valve and regulator diaphragm rupture were assigned the first, second and third ranks of risk priority, respectively. The sensitivity analysis results showed the proposed approach had desirable stability and only the failure mode of increasing the heater flame temperature was very sensitive to changes in the weight of the criteria. Results of ranking the failure modes of the station indicated there were many changes in the ranking of failure modes based on the proposed approach.
Conclusion: The proposed approach could provide more reasonable and accurate results for ranking risks because the criteria were weighed step by step based on the experts’ opinion.
Type of Study: Research |
Received: 2022/09/25 | Accepted: 2022/09/1 | Published: 2022/09/1
Received: 2022/09/25 | Accepted: 2022/09/1 | Published: 2022/09/1
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