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Optimal selection of safety recommendations: A hybrid fuzzy multi-criteria decision-making approach to HAZOP
Journal of Loss Prevention in the Process Industries ( IF 3.5 ) Pub Date : 2021-10-07 , DOI: 10.1016/j.jlp.2021.104654
Morteza Cheraghi 1 , Aliakbar Eslami Baladeh 2 , Nima Khakzad 3
Affiliation  

One of the most important outputs of Hazard and Operability (HAZOP) study is a list of recommendations (safety measures) for improving the safety of the system under study. Although, it is generally assumed that all the recommendations should be implemented, due to the limited resources (budget, time, etc.) simultaneous implementation of all the recommendations is not feasible in reality. The large number of recommendations, a wide range of factors which should be evaluated by experts, and the uncertainty in the expert opinions make the conventional methods ineffective. Despite the widespread use of HAZOP, the decision as to which recommendations to implement is still a challenge for process safety managers.

The present study aims to develop (i) a comprehensive hierarchy of factors for the evaluation of the recommendations, (ii) a novel methodology by integrating the Best Worst Method (BWM) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for ranking the recommendations and (iii) fuzzy logic and group decision-making are used to consider the imprecision of expert opinions so as to improve the accuracy of the results. The proposed model is capable of considering most factors of recommendations for any number of HAZOP recommendations.

The methodology can be applied to a broad range of hazardous facilities and industries. In the present study, however, its application has been demonstrated for a sulfuric acid storage system.



中文翻译:

安全建议的最佳选择:HAZOP 的混合模糊多标准决策方法

危害和可操作性 (HAZOP) 研究的最重要输出之一是用于提高所研究系统安全性的建议列表(安全措施)。虽然,由于资源(预算、时间等)有限,通常假设所有建议都应该实施,但同时实施所有建议在现实中是不可行的。大量的建议、广泛的需要专家评估的因素以及专家意见的不确定性使得常规方法无效。尽管 HAZOP 被广泛使用,但决定实施哪些建议仍然是过程安全管理人员面临的挑战。

本研究旨在开发(i)用于评估建议的综合因素层次结构,(ii)通过整合最佳最差方法(BWM)和通过与理想解决方案相似的偏好顺序技术(TOPSIS)的新方法) 对推荐进行排序和 (iii) 模糊逻辑和群体决策用于考虑专家意见的不精确性,以提高结果的准确性。所提出的模型能够考虑任何数量的 HAZOP 建议的大多数建议因素。

该方法可以应用于广泛的危险设施和行业。然而,在本研究中,它已被证明用于硫酸储存系统。

更新日期:2021-10-15
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