Next-Generation Predictive Maintenance: Integrating AI, IoT, and Edge Computing in Manufacturing

Abstract

Predictive maintenance has evolved from traditional time-based approaches to more advanced, data-driven methods. The integration of Artificial Intelligence (AI), Internet of Things (IoT), and Edge Computing in manufacturing is revolutionizing how maintenance is conducted, enabling real-time monitoring and predictive analytics. This paper explores the synergy between these technologies and their impact on predictive maintenance. We discuss the architecture of AI-IoT-Edge systems, their applications in manufacturing, challenges, and future prospects. The results demonstrate significant improvements in operational efficiency, reduced downtime, and cost savings, making next-generation predictive maintenance a cornerstone of smart manufacturing.