Abstract

Conventional ergonomic risk evaluations in the manufacturing industry are generally focused solely on posture severity, often leading to management rejecting improvement recommendations due to operational cost and time constraints. This study aims to demonstrate the application of the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to resolve multi-criteria conflicts between worker safety and corporate financial efficiency. A quantitative descriptive approach was used through data simulation on five alternative workstations evaluated against five criteria: REBA score, NBM score, estimated cost, implementation time, and expected productivity targets. The relative closeness distance computation resulted in the Cutting Station as the main priority for intervention with a preference value of 0.627. This alternative outperformed the Assembly Station (0.463), which actually possessed the highest absolute hazard but demanded the most expensive improvement costs and the longest production downtime. In conclusion, the integration of the TOPSIS algorithm proved effective in transforming hazard assessment metrics into rational investment decisions. This mathematical modeling provides a strategic guide for executive management in designing workspace improvement roadmaps that ensure workers' biological health while maintaining corporate cash flow sustainability.

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