#6392. Optimal selection of safety recommendations: A hybrid fuzzy multi-criteria decision-making approach to HAZOP

November 2026publication date
Proposal available till 22-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Food Science;
Management Science and Operations Research;
Safety, Risk, Reliability and Quality;
Industrial and Manufacturing Engineering;
Chemical Engineering (all);
Control and Systems Engineering;
Energy Engineering and Power Technology;
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Abstract:
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.
Keywords:
Best worst method; Fuzzy theory; HAZOP; Multi-criteria decision-making; Optimal selection; TOPSIS

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