Volume 8, Issue 3 (Summer 2019)                   Arch Hyg Sci 2019, 8(3): 154-162 | Back to browse issues page


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Mousavi S M, Karimi A, Zakerian S A, 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) :154-162
URL: http://jhygiene.muq.ac.ir/article-1-398-en.html
1- Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences
2- Office of Traffic Safety and Control, Abadan oil Refinery
3- Department of Health Information Management and Medical Informatics, Faculty of Paramedical Sciences, Tehran University of Medical Sciences
Abstract:   (4874 Views)
Background: Permit-to-work system is a process used to prevent accidents in the process industries. Evaluation and monitoring of the performance of a permit to work system reveal its inherent weaknesses and reduce accidents in process industries. Since there exists no local tool for monitoring the performance of permit-to-work system in refineries and process industries, such as petrochemicals, the present study aimed to develop and validate a questionnaire assessing the performance and effectiveness of permit-to-work system in an oil refinery located in southern Iran.
Methods: Six criteria were identified as the main components of permit-to-work system and the initial questionnaire was designed after reviewing the literature and existing guidelines in permit-to-work system, as well as interviewing industry and university experts familiar with permit-to-work system. The criteria included risk assessment, risk prevention and control, coordination and information, sense   of responsibility, Clarity and transparency, and documentation.The face validity and content validity of the questionnaire were evaluated based on the viewpoints of 25 industrial and academic experts using Lawshe's method.
Cronbach's alpha test was rendered using SPSS software(version 25) based on 100 referred questionnaires out of a total of 120 questionnaires distributed among operational staff (site staff, senior staff, control room staff), security officers, and shift officers who were in charge of issuing or approving work permits in the refinery.
Results: The initial questionnaire consisted of 65 questions out of which 50 questions were selected after the assessment of face and content validity of the questionnaire and 15 questions with CVR <0.37 and CVI <0.79 were removed and Cronbach's alpha for the whole questionnaire was measured at 0.81.
Conclusion: Assessment of the validity and reliability of the questionnaire revealed that the designed questionnaire has appropriate validity and reliability to evaluate the performance and efficacy of permit-to-work system. Accordingly, this questionnaire can be used as an efficient instrument to evaluate the performance of  permit-to-work system in process industries, such as oil refineries and petrochemicals.
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Type of Study: Original Article | Subject: Occuptional Health
Received: 2019/07/31 | Accepted: 2019/09/25 | Published: 2020/01/15

References
1. 1. Adedigba SA, Khan F, Yang M. Process accident model considering dependency among contributory factors. Proc Saf Environ Protect 2016;102:633-47. Link [DOI:10.1016/j.psep.2016.05.004]
2. Kletz TA. Hazop & Hazan: identifying and assessing process industry hazards. Florida: CRC Press; 2018. [DOI:10.1201/9780203752227]
3. Abílio Ramos M, Droguett EL, Mosleh A, das Chagas Moura M, Ramos Martins M. Revisiting past refinery accidents from a human reliability analysis perspective: the BP texas city and the chevron richmond accidents. Can J Chem Eng 2017;95(12):2293-305. Link [DOI:10.1002/cjce.22996]
4. Croquer A, Bone D, Bastidas C, Ramos R, García E. Monitoring coastal pollution associated with the largest oil refinery complex of Venezuela. Peer J 2016;4:e2171. PMID: 27375970 [DOI:10.7717/peerj.2171]
5. Yeong AF, Rashid ZA, Alias AB. Study of internal pressure impact on sphere tank towards vapour cloud explosion: Feyzin incident. Int J Adv Sci Eng Inform Technol 2018;8(6):2561-9. Link [DOI:10.18517/ijaseit.8.6.5409]
6. Gharabagh MJ, Asilian H, Mortasavi S, Mogaddam AZ, Hajizadeh E, Khavanin A. Comprehensive risk assessment and management of petrochemical feed and product transportation pipelines. J Loss Prev Proc Indust 2009;22(4):533-9. Link [DOI:10.1016/j.jlp.2009.03.008]
7. Saadawi H. The Legacy of piper alpha 30 years on: is the oil industry doing enough about process safety? SPE International Conference and Exhibition on Health, Safety, Security, Environment, and Social Responsibility, Abu Dhabi, UAE; 2018. Link. [DOI:10.2118/190620-MS]
8. 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. (In Persian) Link
9. Jahangiri M, Hoboubi N, Rostamabadi A, Keshavarzi S, Hosseini AA. Human error analysis in a permit to work system: a case study in a chemical plant. Saf Health Work 2016;7(1):6-11. Link [DOI:10.1016/j.shaw.2015.06.002]
10. 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. Link [DOI:10.1201/b19094-387]
11. Yoon IK, Seo JM, Jang N, Oh SK, Shin D, Yoon ES. A practical framework for mandatory job safety analysis embedded in the permit-to-work system and application to gas industry. J Chem Eng Japan 2011;2011:1110040276. Link [DOI:10.1252/jcej.11we156]
12. Majid ND, Shariff AM, Zaki NA. Compliance of hot work permit to process safety management (PSM) regulation. Appl Mechan Mater 2014;625:418-21. Link [DOI:10.4028/www.scientific.net/AMM.625.418]
13. 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. (In Persian) Link
14. 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. (In Persian) Link
15. Lees F. Lees' Loss prevention in the process industries: Hazard identification, assessment and control. Oxford, UK: Butterworth-Heinemann; 2012.
16. Taherdoost H. Validity and reliability of the research instrument; how to test the validation of a questionnaire/survey in a research. Int J Acad Res Manag 2016;5(3):28-36. Link [DOI:10.2139/ssrn.3205040]
17. Lawshe CH. A quantitative approach to content validity 1. Personnel Psychol 1975;28(4):563-75. Link [DOI:10.1111/j.1744-6570.1975.tb01393.x]
18. 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. (In Persian) Link
19. 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. (In Persian) Link

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