Influential criteria in domino accident analysis: An evaluation using the logarithm methodology of additive weights

Abstract

Domino incidents in process industries entail cascading failures, demanding thorough analysis to uncover root causes and enhance safety measures. Standard criteria are crucial for systematically evaluating incident investigation techniques, ensuring informed decision-making and consistency. Multi-Criteria Decision Making (MCDM) methods offer a structured approach to technique selection. This study addresses the need for systematic evaluation and prioritization of criteria influencing domino accident analysis technique selection. Through a comprehensive literature review, 16 main criteria and 42 sub-criteria were identified and weighted using the Logarithm Methodology of Additive Weights (LMAW) method, incorporating expert opinions. Results indicate the significance of criteria like applicability, accuracy, and comprehensiveness. Conversely, criteria such as relevance, cost-effectiveness, and emergency response team consideration had lower weights but remained significant. Findings regarding sub-criteria highlight the importance of consistent application of investigation methods and understanding sequential incident progression. This study advances domino accident investigation practices, promoting safety in process industries.