Volume 8, Issue 1 (Spring 2021)                   johe 2021, 8(1): 37-45 | Back to browse issues page

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Mousavi S M, Karimi A, Zakerian S A, Jahadi Naeini M. Identification and Prioritization of the Criteria Affecting the Performance of the Permit-to-Work System in an Oil Refinery using a Fuzzy Delphi Method and Fuzzy Analytical Hierarchy Process. johe 2021; 8 (1) :37-45
URL: http://johe.umsha.ac.ir/article-1-630-en.html
1- Department Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
2- Department Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran , a_karimi@sina.tums.ac.ir
3- School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran
Abstract:   (2371 Views)
Background and Objective: Permit-to-work system is a formal, documented, and written system aiming at controlling the risk of occupations that are considered potentially dangerous. This study aimed to identify and prioritize the criteria affecting the performance of the permit-to-work system in an oil refinery.
Materials and Methods: The present study was designed and implemented in three steps. In the first step, the primary research criteria were identified after reviewing previous studies and conducting interviews with experts. In the second step, the Fuzzy Delphi method was used to determine the final criteria after obtaining the opinions of 25 experts regarding the primary criteria. Finally, the fuzzy hierarchical analysis method was utilized to weigh and prioritize the identified criteria.
Results: The result of the Fuzzy Delphi method showed that six criteria affected the performance of the permit-to-work system. These criteria included the hazard identification and risk assessment, training and competence of individuals, preventive actions, communication, responsibility, and coordination. The prioritization of these criteria using fuzzy hierarchical analysis showed that responsibility )final weight 0.191), as well as coordination and communication (final weight 0.134( obtained the highest and lowest importance among the identified criteria, respectively.
Conclusion: In this study, a model of decision-making based on Delphi methods and fuzzy hierarchical analysis was introduced to identify the factors affecting the performance of the permit-to-work system in an oil refinery.
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Type of Study: Research Article | Subject: Safety

1. Wang J, Fu G, Yan M. Investigation and analysis of a hazardous chemical accident in the process industry: triggers, roots, and lessons learned. Processes. 2020;8(4):477. DOI: 10.3390/pr8040477 [DOI]
2. Baalisampang T, Abbassi R, Garaniya V, Khan F, Dadashzadeh M. Modelling an integrated impact of fire, explosion and combustion products during transitional events caused by an accidental release of LNG. Proc Saf Environ Protec. 2019;128:259-72. DOI: 10.1016/j.psep.2019.06.005 [DOI]
3. Hayes J. Disaster incubation: Grenfell Tower’s unnecessary lessons. Construc Res Innovat. 2017;8(3):76-9. DOI: 10.1080/20450249.2017.1367559 [DOI]
4. Mousavi SM, Karimi A, Zakerian SA, Makvandi G, Mehravar M. Development and validation of work permit system performance assessment questionnaire, a case study in an Iranian oil refinery. Arch Hyg Sci. 2019;8(3):154-62. DOI: 10.29252/ArchHygSci.8.3.154 [DOI]
5. Zarei E, Mohammadfam I, Azadeh A, Khakzad N, Mirzai M. Dynamic risk assessment of chemical process systems using Bayesian Network. Iran Occup Health J. 2018;15(3):103-17. [Persian] [DOI]
6. Misuri A, Moreno VC, Quddus N, Cozzani V. Lessons learnt from the impact of hurricane Harvey on the chemical and process industry. Reliabil Eng Syst Saf. 2019;190:106521. DOI: 10.1016/j.ress.2019.106521 [DOI]
7. Lees F. Lees' Loss prevention in the process industries: hazard identification, assessment and control. Oxford: Butterworth-Heinemann; 2012. [DOI]
8. Zimmerman J, Haywood B. Process safety management best practice: safe work permit management system. The ASSE Professional Development Conference and Exposition, Denver, Colorado, USA; 2017. [DOI]
9. Guidance on permit-to-work systems, A guide for the petroleum, chemical and allied industries. Merseyside: Health and Safety Executive; 2005. [DOI]
10. Yan CK, Siong PH, Kidam K, Ali MW, Hassim MH, Kamaruddin MJ, et al. Contribution of permit to work to process safety accident in the chemical process industry. Chem Eng Transact. 2017;56:883-8.DOI: 10.3303/CET1756148 [DOI]
11. Jusoh N, Ali MW, Abdullah TA, Husain A. The verification result of permit to work assessment in occupational accident using fault tree analysis. Mater Sci Eng. 2020;808(1):012022. DOI: 10.1088/1757-899X/808/1/012022 [DOI]
12. Mousavi SM, Karimi A, Zakerian SA, Jahadi Naeini M. Factors affecting performance of permit to work system: a case study in an oil refinery. Arch Occup Health. 2020;4(4):863-9. DOI: 10.18502/aoh.v4i4.4512 [DOI]
13. Dambros JW, Trierweiler JO, Farenzena M. Oscillation detection in process industries–Part I: review of the detection methods. J Proc Control. 2019;78:108-23. DOI: 10.1016/j.jprocont.2019.04.002 [DOI]
14. Zanker J, Scott D, Reijnierse E, Brennan-Olsen S, Daly R, Girgis C, et al. Establishing an operational definition of sarcopenia in Australia and New Zealand: Delphi method based consensus statement. J Nutr Health Aging. 2019;23(1):105-10. PMID: 30569078 DOI: 10.1007/s12603-018-1113-6 [DOI]
15. Hernandez NB, Ruilova Cueva MB, Mazacón BN. Prospective analysis of public management scenarios modeled by the Fuzzy Delphi method. Neutrosophic sets and systems. New Mexico: University of New Mexico; 2019. P. 17. [DOI]
16. Moradirad R, Haghighat M, Yazdanirad S, Hajizadeh R, Shabgard Z, Mousavi SM. Selection of the most suitable sound control method using fuzzy hierarchical technique. J Health Saf Work. 2019;8(4):371-82. [Persian] [DOI]
17. Jain V, Sangaiah AK, Sakhuja S, Thoduka N, Aggarwal R. Supplier selection using fuzzy AHP and TOPSIS: a case study in the Indian automotive industry. Neural Comput Appl. 2018;29(7):555-64. DOI: 10.1007/s00521-016-2533-z [DOI]
18. Adli J, Omidvari M. Assessing the risk of crisis in gas distribution networks using the FAHP-PROMETHEE II method (Case study of Qazvin Province Gas Company). Iran Occup Health. 2020;17(1):1-14. [Persian] [DOI]
19. Mousavi SM, Abbasi M, Yazdanirad S, Yazdanirad M, Khatooni E. Fuzzy AHP-TOPSIS method as a technique for prioritizing noise control solutions. Noise Control Eng J. 2019;67(6):415-21. DOI: 10.3397/1/376738 [DOI]
20. Kaur R, Mittal S. Multi criteria based handoff using FAHP and Fuzzy Inference System. 2019 International Conference on Data Science and Communication (IconDSC), Bangalore, India; 2019. DOI: 10.1109/IconDSC.2019.8816874 [DOI]
21. Jahangiri M, Molaei Far H, Honarbaksh M, Farhadi P, Khani B, Rajabi F. Prioritizing strategies of skin exposure with chemical in a painting company using fuzzy analytical hierarchy process & Topsis. Health Saf Work. 2019;8(4):409-18. [Persian] [DOI]
22. Asghari M, Nassiri P, Monazzam MR, Golbabaei F, Arabalibeik H, Shamsipour AA, et al. Determination and weighting the effective criteria in selecting a heat stress index using the Delphi technique and fuzzy analytic hierarchy process (FAHP). J Health Saf Work. 2017;7(1):23-32. [Persian] [DOI]
23. Van Rooij B, Fine A. Toxic corporate culture: assessing organizational processes of deviancy. Administ Sci. 2018;8(3):23. DOI: 10.3390/admsci8030023 [DOI]
24. Majid ND, Shariff AM, Zaki NA. Compliance of hot work permit to process safety management (PSM) regulation. Appl Mechan Mater. 2014;625:418-21. DOI: 10.4028/www.scientific.net/AMM.625.418 [DOI]
25. Mirderikvand H, Nassiri P, Mansouri N. Evaluation and comparative compare PTW system performance in an offshore oil platform. Hum Environ. 2011;9(4):15-20. [Persian] [DOI]
26. Ghahramani A. Permit to work system conformity analysis based on the system standard criteria in an oil and gas extraction company. Iran Occup Health J. 2007;4(1):10-4. [Persian] [DOI]
27. Ghasemi A, Atabi F, Golbabaei F. Human error classification for the permit to work system by SHERPA in a petrochemical industry. J Occup Hyg Eng. 2015;2(3):66-73. [Persian] [DOI]
28. Jahangiri M, Hobobi N, Keshavarzi S, Hosseini AA. Determination of human error probabilities in permit to work procedure. Saf Reliabil Complex Eng Syst. 2015;138:2945-50. DOI: 10.1201/b19094-387 [DOI]
29. Hoboubi N, Jahangiri M, Keshavarzi S. Introduction of engineering approach technique in quantitative human error assessment; case study in permit to work system of a petrochemical plant. Iran Occup Health. 2014;11(5):1-9. [Persian] [DOI]
30. Safdary M, Afrazeh A, Ebrahimi M, Azami A. The role of human resource management, organizational structure and culture in promoting corporate entrepreneurship (Case study: petrochemical research & technology company). Hum Res Manag Oil Ind. 2014;5(20):159-80. [Persian] [DOI]

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