CHARACTERIZATION STUDY OF THE PRODUCTIVE EFFICIENCY IN THE ELECTRONICS ASSEMBLY INDUSTRIES OF THE MANAUS INDUSTRIAL POLE THROUGH THE CALCULATION OF THE OEE - AUTOMATION CASE STUDY
DOI:
https://doi.org/10.56238/arev6n4-317Keywords:
Industry 4.0, Digital Twins, OEE, Industrial Sustainability, IotAbstract
This study presents the implementation of enabling technologies of Industry 4.0, with emphasis on the use of Digital Twins and the automation of the calculation of OEE (Overall Equipment Effectiveness), applied to an assembly line of electrical and electronic boards in the Industrial Pole of Manaus (PIM). The objective was to develop a solution capable of identifying, in real time, the times and reasons for production stoppages, aiming at optimizing industrial processes and reducing operating costs. The data was collected through IoT sensors installed on the production lines, integrated with a digital platform that virtually replicated the manufacturing plant in a Digital Twin system. OEE was automatically calculated from the three main indicators: Availability, Performance and Quality. Simulations in the virtual environment identified production bottlenecks and allowed predictive actions to avoid failures and optimize machine performance. The results, obtained over 80 days of monitoring, showed evolution in production efficiency indicators, with a reduction in unscheduled downtime, dynamic adjustment of production parameters and improvement in product quality, positively impacting industrial sustainability and energy efficiency. The study also discussed challenges faced, such as integration with legacy systems, quality of the data collected, and technical training of the team, which was essential for the success of the digital transformation. It is concluded that the combination of Digital Twins, automated OEE and Industry 4.0 technologies constitutes a viable path to operational excellence, contributing to the competitiveness and sustainability of the PIM industries.
