Digital Twins Integrating AI, AR, VR, and Robotics: A Case Study of Smart Manufacturing Transformation
Abstract
This case study examines the implementation of an integrated dig- ital twin system at a major automotive manufacturing facility, com- bining artificial intelligence (AI), augmented reality (AR), virtual re- ality (VR), and robotics technologies. The system enables real-time monitoring, predictive maintenance, immersive training, and adaptive control of manufacturing processes through a sophisticated digital rep- resentation of physical assets. Over an 18-month deployment period, significant improvements were observed in operational efficiency (27% increase), maintenance cost reduction (35%), training effectiveness (65% improvement), and product quality (defect rate decreased by 42%). This paper presents the architecture, implementation method- ology, and quantitative results of this digital transformation initiative, providing valuable insights for similar industrial applications.