INVESTIGATING THE INTEGRATION OF INDUSTRIAL INTERNET OF THINGS FRAMEWORKS WITH PREDICTIVE ANALYTICS TO IMPROVE EQUIPMENT PERFORMANCE AND MINIMIZE DOWNTIME IN E-MANUFACTURING SYSTEMS

Abstract

The integration of Industrial Internet of Things (IIoT) frameworks with predictive analytics has become a cornerstone of modern e-manufacturing systems. This paper explores how these technologies enhance equipment performance and minimize downtime by leveraging real-time data and advanced analytics. By analyzing current literature and presenting recent advancements in IIoT and predictive analytics, we aim to provide actionable insights into their synergistic application. The study highlights challenges, best practices, and future opportunities for optimizing e-manufacturing systems.