A multi-criteria-based hazard and operability analysis for process safety

A multi-criteria-based hazard and operability analysis for process safety

•An improved methodology to assess risks in industrial processes was provided.•MCDM, SODA, and IFS were integrated to improve the HAZOP analysis.•The (IFS-based MCDM sorting algorithm) demonstrated that sorting is better than ranking.•The MCDM-based HAZOP proved to be more consistent and appropriate...

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Bibliographic Details
Published in:Process safety and environmental protection Vol. 144; pp. 310 - 321
Main Authors: Viegas, Renan Alves, Mota, Francisco de Assis da Silva, Costa, Ana Paula Cabral Seixas, dos Santos, Francisco Francielle Pinheiro
Format: Journal Article
Language:English
Published: Rugby Elsevier B.V 01-12-2020
Elsevier Science Ltd
Subjects:
Cognitive ability
Cognitive maps
Comparative analysis
Decision analysis
Decision making
Fuzzy sets
Hazard identification
HAZOP
Intuitionistic fuzzy sets
Multi-criteria decision making
Multiple criterion
Problem solving
Pyrolysis
Risk analysis
SODA
Sorting algorithms
Sorting problem
Intuitionistic fuzzy sets
Risk analysis
Multi-criteria decision making
HAZOP
SODA
Sorting problem
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Summary:•An improved methodology to assess risks in industrial processes was provided.•MCDM, SODA, and IFS were integrated to improve the HAZOP analysis.•The (IFS-based MCDM sorting algorithm) demonstrated that sorting is better than ranking.•The MCDM-based HAZOP proved to be more consistent and appropriate. Multi-criteria Decision Making (MCDM) is widely used for problem-solving in various research fields and has shown good results in risk analysis as well. However, given the gaps found in previous studies in the context of risk analysis, this article proposes and conducts a novel MCDM-based HAZOP analysis: a hybrid methodology with an MCDM approach, Strategic Options Development and Analysis (SODA), and Intuitionistic Fuzzy Sets (IFS). We combine their advantages by using SODA with Intuitionistic Fuzzy Cognitive Maps and by reducing the inherent uncertainty and subjectivity of HAZOP with an IFS-based MCDM sorting algorithm. To demonstrate the usefulness and flexibility of this approach, a real application with a continuous pyrolysis system was conducted, and a comparative analysis was made of the main related studies to demonstrate the advantages of the approach now proposed. On applying it, 40 hazards were identified (seven more than a previous analysis conducted in 2016), and only 3 (7.5 %) of them required special attention. Among the positive points highlighted by the team, the most cited were the resource-saving, greater focus and objectivity, and a more realistic perception of hazards. In particular, we show that our methodology is more consistent and appropriate than those in previous related articles. To assist future users, we provide a framework for the application.
ISSN:0957-5820
1744-3598
DOI:10.1016/j.psep.2020.07.034