A Study on the Production Management System for Analyzing Operator Errors and Manufacturing Data in the Assembly Process

This study adopts augmented reality, data analysis, and co-robot integration to develop and implement system integration technology for productivity improvement and quality management. The proposed system can help companies reduce work errors based on work information augmentation technology optimized for a fieldwork environment, manage work quality with alarms on assembly torque anomalies compared with upper and lower thresholds with actual torque data collection and presentation, and manage accumulated productivity by work stage and monthly unit time. With regular production process optimization for productivity increase and defect minimization, the system optimizes the manufacturing process for high-difficulty core components and improves productivity.