当前位置: X-MOL 学术J. Loss Prev. Process. Ind. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A framework for resilience assessment in process systems using a fuzzy hybrid MCDM model
Journal of Loss Prevention in the Process Industries ( IF 3.6 ) Pub Date : 2020-12-24 , DOI: 10.1016/j.jlp.2020.104375
Esmaeil Zarei , Bahman Ramavandi , Amir Hossein Darabi , Mohsen Omidvar

Resilience engineering (RE) has recently emerged as a novel safety management paradigm in socio-technical organizations. It is believed that RE is more compatible with the characteristics of complex socio-technical systems. The multicriteria nature and the presence of both qualitative and quantitative latent factors make RE substantially more complex especially in quantifying and modeling aspects. To address this issue, the present research aims to develop a fuzzy hybrid multicriteria decision-making (MCDM) model for quantifying and evaluating resilience using the fuzzy Analytic hierarchy process (F-AHP) and fuzzy VIKOR (F-VIKOR) techniques. Initially, an evaluation framework including six resilience indicators and 43 sub-indicators was established. Afterward, the F-AHP method was used to determine the weight of the resilience indicators, while the F-VIKOR method was employed to rank the resilience performance of the different operational units. To present the model capability, we evaluated the resilience of a gas refinery as a typical instance of socio-technical systems. The findings revealed the performance level of resilience indicators in all units of the studied refinery and their ranking based on the computation of the index value (Qi). With respect to the Qi values, the best and worst performance of units from the resilience perspective was specified. Results indicate that the proposed model can serve as an effective evaluation approach in complicated systems and can be used to effectively design strategies to improve system safety performance. To the best of our knowledge, this is the first study that evaluates the resilience using the VIKOR and AHP in a fuzzy environment in the process industry.



中文翻译:

使用模糊混合MCDM模型的过程系统弹性评估框架

弹性工程(RE)最近已成为社会技术组织中一种新颖的安全管理范例。人们认为,稀土元素与复杂的社会技术系统的特征更加兼容。多准则的性质以及定性和定量潜在因素的存在,使得可再生能源实质上更加复杂,尤其是在定量和建模方面。为解决此问题,本研究旨在开发一种模糊混合多准则决策(MCDM)模型,用于使用模糊层次分析(F-AHP)和模糊VIKOR(F-VIKOR)技术量化和评估弹性。最初,建立了包括六个弹性指标和43个次级指标的评估框架。之后,使用F-AHP方法确定弹性指标的权重,而采用F-VIKOR方法对不同作战单位的弹力性能进行排名。为了展示模型的功能,我们评估了天然气精炼厂作为社会技术系统典型实例的弹性。调查结果揭示了所研究炼油厂所有部门的回弹指标的性能水平以及根据指标值(Qi)的计算对其进行排名。关于Qi值,从弹性的角度指定了单位的最佳和最差性能。结果表明,该模型可作为复杂系统中的有效评估方法,可用于有效设计策略以提高系统安全性能。据我们所知,

更新日期:2021-01-06
down
wechat
bug