Evaluation of a robotic cell in the glass edging sector using a computer simulation model

Abstract

The work explores the implementation of a robotic cell in the edging sector of the glass industry, addressing the application of two simulation models to evaluate the system's efficiency. The research highlights the importance of automation in minimizing occupational risks and increasing productivity in a sector facing significant challenges related to worker safety and the shortage of skilled labor. Industry 4.0, through the integration of digital technologies, offers opportunities to optimize industrial processes and ensure safety and operational efficiency. Using KUKA.Sim software, the robotic cell simulation allowed for the modeling and analysis of robot behavior in handling glass sheets. The study involved data collection in the industrial environment to establish a performance baseline without automation, subsequently comparing it with the results obtained from the simulated robotic cell. The analysis included the selection of a specific robot model, considering aspects such as payload capacity, precision, and operational reach, which are essential to ensure the robot meets the glass sector's requirements. The simulation results indicate a potential increase in productivity and safety, enabling the glass industry to achieve a competitive position in response to growing quality and efficiency demands. The research suggests that by implementing robotic cells, companies can optimize internal processes and reduce dependence on manual labor in high-risk tasks, such as glass edging