The multi-level comprehensive safety evaluation for chemical production instalment based on the method that combines grey-clustering and EAHP. (March 2017)

• Record Type: Journal Article
• Authors: Lv, Chen; Wu, Zongzhi; Liu, Zegong; Shi, Lichen
• Is Part Of: International journal of disaster risk reduction. Volume 21(2017)
• Page Start: 243
• Page End: 250
• Publication Date: 2017-03
• Subjects: Whitening function of grey group -- Extension analytic hierarchy process -- Evaluation index system -- Comprehensive safety evaluation; Emergency management -- Periodicals; Risk management -- Periodicals; Disaster relief -- Periodicals; Hazard mitigation -- Periodicals; 363.34
• DOI: 10.1016/j.ijdrr.2016.11.015
• Languages: English
• ISSNs: 2212-4209

Abstract

Abstract: As the production scale of the chemical enterprise is expanding greatly, the chemical production instalment becomes increasingly complex and large, which results in an increase in accident risk. In this work, for the synthetic ammonia plant, 17 s-grade risk evaluation indexes are constructed based on work safety conditions, safety techniques and safety management, establishing the multi-level risk assessment criteria system. Applying the fraction scale method of 10/10–18/2, the extension interval number judgement matrix is set up, and the computing model for calculating the index weights is established based on the EAHP (extension analytic hierarchy process). The risk evaluation index is divided into four grey groups, and the whitening functions of the grey group are determined, establishing the improved grey-clustering multi-level comprehensive evaluation method. Then, by applying a risk assessment to the synthetic ammonia plant of Anhui Huainan Chemical Group Co., Ltd, the overall risk level of the ammonia plant is level Ⅰ, belonging to the "not dangerous" category, which is in accordance with the actual security situation. The results show that utilizing the combined evaluation methodology of grey-clustering and EAHP can better assess the risk of chemical production instalment and greatly enhance the enterprise's risk management capability. Highlights: A new risk assessment method is established. A computing model for calculating the index weights is established based on the EAHP. The grey-clustering multi-level comprehensive evaluation method is improved. New risk assessment method can better assess the risk of chemical production unit. The method greatly enhance the enterprise's risk management capability.