Towards Proactive Maintenance : The Implementation of Digitized SCADA Systems for Predictive Maintenance Optimization in Production Environments

This paper advocates for the adoption of predictive maintenance strategies in production companies, highlighting the transition from traditional reactive and preventive maintenance approaches. It emphasizes the importance of data acquisition, management, and utilization in enabling predictive maintenance, proposing the development and implementation of a digitized Supervisory Control and Data Acquisition (SCADA) system. The proposed solution integrates advanced technologies such as sensors, Industrial Internet of Things (IIoT), and artificial intelligence (AI) to automate data acquisition, processing, and predictive analytics. Through systematic implementation, organizations can enhance operational efficiency, reduce downtime, and transition to proactive maintenance strategies. The paper presents the architecture, infrastructure setup, and testing methodology used to validate the effectiveness of the proposed system. Future research directions include continuous refinement of predictive models, scalability across industries, and understanding human factors for successful implementation.