Volume 12, Issue 4 (12-2022)
J Health Saf Work 2022, 12(4): 820-841 |
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Askarian A, Mirza Ebrahim Tehrani M, Sadatipour S M T, Jozi S A, Marandi R. Study of the Role of key risks in the trip gas sweetening unit by using Structural Equation Modeling: A case study in the Gas Refinery. J Health Saf Work 2022; 12 (4) :820-841
URL: http://jhsw.tums.ac.ir/article-1-6773-en.html
URL: http://jhsw.tums.ac.ir/article-1-6773-en.html
Alireza Askarian1 
, Mahnaz Mirza Ebrahim Tehrani * 2, Seyed Mohammad Taghi Sadatipour1 , Seyed Ali Jozi1 , Reza Marandi1
, Mahnaz Mirza Ebrahim Tehrani * 2, Seyed Mohammad Taghi Sadatipour1 , Seyed Ali Jozi1 , Reza Marandi1
1- Department of Environment, Faculty of Marine Science and Technology, Islamic Azad University, North Tehran Branch, Tehran, Iran
2- Department of Environment, Faculty of Marine Science and Technology, Islamic Azad University, North Tehran Branch, Tehran, Iran ,Tehrani.mah@gmail.com
2- Department of Environment, Faculty of Marine Science and Technology, Islamic Azad University, North Tehran Branch, Tehran, Iran ,
Abstract: (1034 Views)
Introduction: Unit risk management is a critical component of gas refining management, as risks that are not well-managed may lead to trip production failures. The present study aimed to provide a structural model for investigating the role and effect of different variables on stopping the gas production process in the gas refinery.
Material and Methods: This study was a retrospective cross-sectional and systematic analysis, which was carried out on key risks in the trip gas sweetening unit in a gas refinery industry located in Asaluyeh, Iran. The systems analysis was applied by using Fishbone Diagram, and then data modeling was prepared by Structural Equation Modeling (SEM) for an incident that occurred during gas sweetening production. Tools for the data analysis included the SPSS 24 and Smart PLS 2 software.
Results: Results of this research indicate that “Environment Risk” with a path coefficient of 0.943 and T- Value of 103.791; “Cost Risk” with a path coefficient of 0.937 and T- Value of 95.168; “Implementation of management system Risk” with a path coefficient of 0.847 and T- Value of 35.23; “Accident Risk” with path coefficient of 0.577 and T- Value of 25.410; “Time Risk” with path coefficient of 0.758 and T- Value of 15.121; “Human Error Risk” with path coefficient of 0.712 and T- Value of 11.215 had the most important coefficients of the paths respectively, that are effective in stopping production concerning other risks. Also, by comparing the path coefficients of the risks we can see that the impact of each of the risks on stopping production is different.
Conclusion: The findings of the present study revealed that a combination of variables can affect stopping production in the gas industry. Therefore, the role of these risks in losses in the refinery system should be investigated.
Material and Methods: This study was a retrospective cross-sectional and systematic analysis, which was carried out on key risks in the trip gas sweetening unit in a gas refinery industry located in Asaluyeh, Iran. The systems analysis was applied by using Fishbone Diagram, and then data modeling was prepared by Structural Equation Modeling (SEM) for an incident that occurred during gas sweetening production. Tools for the data analysis included the SPSS 24 and Smart PLS 2 software.
Results: Results of this research indicate that “Environment Risk” with a path coefficient of 0.943 and T- Value of 103.791; “Cost Risk” with a path coefficient of 0.937 and T- Value of 95.168; “Implementation of management system Risk” with a path coefficient of 0.847 and T- Value of 35.23; “Accident Risk” with path coefficient of 0.577 and T- Value of 25.410; “Time Risk” with path coefficient of 0.758 and T- Value of 15.121; “Human Error Risk” with path coefficient of 0.712 and T- Value of 11.215 had the most important coefficients of the paths respectively, that are effective in stopping production concerning other risks. Also, by comparing the path coefficients of the risks we can see that the impact of each of the risks on stopping production is different.
Conclusion: The findings of the present study revealed that a combination of variables can affect stopping production in the gas industry. Therefore, the role of these risks in losses in the refinery system should be investigated.
Type of Study: Research |
Received: 2022/12/26 | Accepted: 2022/12/31 | Published: 2022/12/31
Received: 2022/12/26 | Accepted: 2022/12/31 | Published: 2022/12/31
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