In bottling process plants, safety conformity effectively addresses hazard control, workers well being and product integrity, promising the protection of the bottling plants from risks and building trust in them. Currently, insufficient attention from comparing safety managers hinders safety conformity development. To address this, the present study aims to explore how the combination of NGT (nominal group technique), DEMATEL (Decision Making Trial and Evaluation Laboratory) and PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) is used to concurrently evaluate the interrelationship and prioritize parameters according to their importance. The study analyzed five relevant segmental classifications of the plant, identified 29 parameters affecting the promotion of safety conformity and constructed an outranking flow model based on aggregate preference function on the leaving-entering flow matrix. The alternate comparison scheme was used to identify the key parameters associated with each of the five segments, namely, warehouse, manufacturing corridors, quality assurance, fleet of vehicles and contractors. Subsequently, the highest-to-lowest ranking of parameters according to the respective aforementioned segments are forklift drivers (aggregate 7; P, P-1, R, I → 7,0,0,0), sighters (aggregate 6; P, P-1, R, I → 6,0,0,0), syrup mixers (aggregate 5; P, P-1, R, I → 5,0,0,0), welders (aggregate 2; P, P-1, R, I → 2,0,0,0) and security (aggregate 4; P, P-1, R, I → 4,0,0,0) in segments 1 to 5, respectively. The study reveals the safety conformity influential parameters with which the most of effective changes and complaints with regulations could be attained. The study results provided guidance and understanding to locate the most influential parameters with high interactions with others, and a platform to drastically enhance safety conformity.
Martins et al. (2025) studied this question.