Development of a System for Demonstration of Maintenance 4.0 Technologies in an Advanced Manufacturing Didatic Plant

Abstract

Industry 4.0 has introduced new maintenance management paradigms, demanding innovative training and implementation solutions. This article proposes a system architecture integrating sensors, IoT devices, data analysis, and condition-based maintenance techniques to serve as a demonstration and learning platform. The proposed methodology involved four steps, culminating in the system's prototyping. The system enables the visualization of how Maintenance 4.0 technologies impact performance, cost, and compliance indicators. The study concludes that the developed system effectively demonstrates these technologies, supporting the training of professionals in a controlled environment where the benefits of applying Maintenance 4.0 solutions can be observed.