Analyzing Resilience in Chemical Industry: A Cross-Sectional in a Process Industry

Journal of Human, Environment, and Health Promotion

article

Hossein Amouei¹  Mahnaz Mirza Ebrahim Tehrani²  Seyed Ali Jozi¹  Ahmad Soltanzadeh³ 

[1] Management of Environment, Department of Environment, Faculty of Marine Science and Technology, Tehran North Branch, Islamic Azad University;Department of Environment, Faculty of Marine Science and Technology, Tehran North Branch, Islamic Azad University;Department of Occupational Health and Safety Engineering, Research Center for Environmental Pollutants, Faculty of Health, Qom University of Medical Sciences

关键词: Resilience;    Safety;    Chemical industry;    Delphi method;   

DOI  :  10.52547/jhehp.8.1.35

来源: Journal of Human Environment and Health Promotion

【 摘 要 】

Background: This study aimed at developing and using a semi-quantitative method for analyzing safety resilience in the chemical industry. This cross-sectional, descriptive-analytical study was carried out in 2018-2020. Methods: This cross-sectional, descriptive-analytical study aimed to develop a semi-quantitative method for analyzing resilience based on the Delphi method including 18 experts in chemical and process engineering as well as the health, safety and environment (HSE) engineering. Results: The development of the semi-quantitative method for analyzing safety resilience took place after three rounds of the Delphi study. In this Delphi study, all the members of the experts' panel approved the three components of preparedness, likelihood, and severity with an 80% acceptance level. The results of the field study revealed 131 hazardous elements. The maximum and minimum values of resilience were found to be 500 and 100 belonging to failure in utility and failure in the distributed control system, respectively.    Conclusion: The developed semi-quantitative method has acceptable reliability for the analysis of safety resilience in the chemical industry. Therefore, the analysis in the chemical industry can be considered an effective, necessary decision-making instrument for predicting and preventing dangers threatening the process, manpower, and nature of the chemical industry.

【 授权许可】

Unknown