EVALUATING THE EFFECTIVENESS OF PREDICTIVE MAINTENANCE MODELS IN ENHANCING EQUIPMENT RELIABILITY AND REDUCING DOWNTIME IN HIGH-THROUGHPUT MANUFACTURING

Abstract

Predictive maintenance (PdM) models have emerged as a cornerstone of smart manufacturing, leveraging data-driven insights to enhance equipment reliability and minimize downtime. This study evaluates the effectiveness of PdM models in high-throughput manufacturing environments, highlighting their capabilities in failure prediction, cost reduction, and operational optimization. The paper synthesizes recent advances, identifies critical challenges, and presents empirical evidence supporting the implementation of PdM strategies in improving manufacturing efficiency.