Predictive Maintenance Strategies for Reducing Downtime in Manufacturing

Abstract

Predictive Maintenance (PdM) has emerged as a transformative strategy in manufacturing, shifting from traditional reactive approaches to proactive, data-driven maintenance. By leveraging advancements in Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT), PdM enables manufacturers to anticipate equipment failures before they occur, thereby minimizing unplanned downtime and optimizing maintenance schedules. This paper explores various PdM strategies, their implementation challenges, and the measurable benefits observed in real-world manufacturing settings. Case studies highlight significant reductions in downtime and maintenance costs, underscoring the importance of adopting PdM for enhanced operational efficiency.