SCADA-Enhanced Real-Time OEE Visualization Driving Industry 4.0 Advancements

Overall Equipment Effectiveness (OEE) serves as a critical Key Performance Indicator (KPI) widely utilized to evaluate the efficiency and productivity of industrial equipment. Real-time OEE monitoring has gained importance with the advent of Industry 4.0, which represents the transformation happening across various sectors, including manufacturing, retail, and infrastructure. This research specifically concentrates on the manufacturing sector, where the Industrial Internet of Things (IIoT) is merging the digital and physical worlds to drive productivity and economic advantages. Unplanned downtime poses challenges for competitive businesses, leading to disruptions and reduced production output. In this paper, the implementation of a Supervisory Control and Data Acquisition (SCADA) system is proposed as a solution to address downtime issues, performance losses, and quality control concerns. By providing real-time visualization of the manufacturing process, the SCADA system facilitates the monitoring of machinery performance and the identification of causes for downtime. Microsoft Power BI is also utilized to conduct detailed OEE analysis, extracting insights from historical data and presenting them through graphical representations for enhanced data visualization. Aligned with Industry 4.0 principles, this research demonstrates how real-time OEE monitoring brings benefits by providing insights for process improvement and promoting continuous enhancement in industrial operations.

I. Introduction

The manufacturing sector is transitioning into Industry 4.0, where highly efficient production depends on automation and data sharing. Even with these technological advancements, it is still difficult to predict and stop anomalous behaviours in the industrial process. To address this issue, industries are increasingly adopting the Supervisory Control and Data Acquisition (SCADA) system, which enables the connection of processing data via the Industrial Internet of Things (IIoT).