Volume 8, Issue 2 (Summer 2021)
johe 2021, 8(2): 32-40 |
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Amouei1 H, Mirza Ebrahim Tehrani M, Jozi S A, Soltanzadeh4 A. Development of a Semi-quantitative Model for the Assessment of Safety Resilience in Process Industries: A Cross-sectional Study Based on the Delphi Method with a Passive Defense Approach. johe 2021; 8 (2) :32-40
URL: http://johe.umsha.ac.ir/article-1-677-en.html
URL: http://johe.umsha.ac.ir/article-1-677-en.html
1- Department of Environment, Faculty of Marine Science and Technology, Tehran North Branch, Islamic Azad University, Tehran, Iran
2- Department of Environment, Faculty of Marine Science and Technology, Tehran North Branch, Islamic Azad University, Tehran, Iran ,tehrani.mah@gmail.com
3- Department of Occupational Safety & Hygiene Engineering, Research Center for Environmental Pollutants, Faculty of Health, Qom University of Medical Sciences, Qom, Iran
2- Department of Environment, Faculty of Marine Science and Technology, Tehran North Branch, Islamic Azad University, Tehran, Iran ,
3- Department of Occupational Safety & Hygiene Engineering, Research Center for Environmental Pollutants, Faculty of Health, Qom University of Medical Sciences, Qom, Iran
Abstract: (2670 Views)
Background and Objective: The analysis of system resilience is one of the ways to increase the factor of safety. The present study aimed to develop a model for the assessment of safety resilience in process industries with a passive defense approach based on the Delphi method.
Materials and Methods: This cross-sectional study was conducted in Phase 19 of the South Pars Gas Field Development Project in 2018-2020. This three-round Delphi study was performed in three rounds stages with the participation of 18 experts in the fields of chemical and process engineering, safety, occupational health, and environment.
Results: After three rounds of the Delphi study, the safety resilience assessment model was developed based on the three components of preparedness, the likelihood of occurrence, and consequence. Based on the results, the preparedness component included the variables of hardware, software, and defensive preparedness, as well as access to external resources. The findings showed that experimental data, technical inspection, and the professional competence of individuals were among effective parameters in the likelihood component. Moreover, the parameters of human damage, property damage, process damage, environmental damage, and strategic and defense damage were among the effective parameters in the consequence component. In this Delphi study, all members of the expert panel confirmed the items in the algorithm, including resilience components and the variables of each component with a 75% acceptance level.
Conclusion: Based on the opinions of the expert panel, the results of this Delphi study indicated that this semi-quantitative model has good reliability for the assessment of safety resilience in process industries. Therefore, the use of this model can be of great in the provision of an acceptable estimate of safety resilience in the process industry.
Materials and Methods: This cross-sectional study was conducted in Phase 19 of the South Pars Gas Field Development Project in 2018-2020. This three-round Delphi study was performed in three rounds stages with the participation of 18 experts in the fields of chemical and process engineering, safety, occupational health, and environment.
Results: After three rounds of the Delphi study, the safety resilience assessment model was developed based on the three components of preparedness, the likelihood of occurrence, and consequence. Based on the results, the preparedness component included the variables of hardware, software, and defensive preparedness, as well as access to external resources. The findings showed that experimental data, technical inspection, and the professional competence of individuals were among effective parameters in the likelihood component. Moreover, the parameters of human damage, property damage, process damage, environmental damage, and strategic and defense damage were among the effective parameters in the consequence component. In this Delphi study, all members of the expert panel confirmed the items in the algorithm, including resilience components and the variables of each component with a 75% acceptance level.
Conclusion: Based on the opinions of the expert panel, the results of this Delphi study indicated that this semi-quantitative model has good reliability for the assessment of safety resilience in process industries. Therefore, the use of this model can be of great in the provision of an acceptable estimate of safety resilience in the process industry.
Type of Study: Research Article |
Subject:
Safety
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