Safety Assessment by Amalgamating Mcdm/ahp, Hazop, Decision Risk-matrices’ Analysis, and Fta, Through a Safety’s Color-mapping Visualization − Application to Industrial and Technological Systems
Year: 2025
Type: article
Abstract: This study presents a novel five-fold synergistic safety assessment framework by the mutual support of the “Typical Analytical Hierarchy Process” (TAHP) – which is classified as a multi-criteria decision-making (MCDM) technique – the “Hazard and Operability” (HAZOP) study, the “Decision Risk-Matrices’ Analysis” (DRiMA), and the “Fault-Trees’ Analysis (FTA)”, through a Safety’s Color-Mapping Process (SaCoMP), in order to recognize crucial safety issues, to assess and rank risks, and also to delineate and visualize the safety and health (S&H) situation at the worksite of a Greek “Measurement and Regulatory Station” (M&RS) of a “Gas Transportation System” (GTS). Initially, the typical HAZOP process is performed with the intention of determining possible fault causations of the deviations (abnormal circumstances) in the plant. The usage of DRiMA process is important to rank the determined risks (1st ranking), whereas the incorporation of a MCDM technique (in the vein of TAHP) into the HAZOP-DRiMA scheme can derive a significant hierarchy of risks, through its own risk ranking results (2nd ranking). Afterwards, the application of FTA is considerable, on the one hand for defining potential failures that enhance the risk’s level, and on the other hand, for a supplementary risk ranking (3rd ranking). Bearing in mind the results of the HAZOP-DRiMA-MCDM/TAHP-FTA synergy, safety color-maps (SaCoM) are derived subsequently for the particular M&RS/GTS system, constituting a precious way for safety managers, in order (i) to appraise the need of dispensing finite resources in measures that prevent distinct kinds of deviations, and (ii) to ensure employees’ S&H as well.
Source: Safety Science
Institutions: Democritus University of Thrace, European University Cyprus
Language: English
Topic: Risk and Safety Analysis
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $4,360
OpenAlex ID: W4412046050