Abstract: World Journal of Artificial Intelligence and Robotics Research

Abstract:
This case study examines the implementation of an integrated digital twin system at a major automotive manu facturing facility, combining artificial intelligence (AI), augmented reality (AR), virtual reality (VR), and robotics technologies. The system enables real-time monitoring, predictive maintenance, immersive training, and adap tive control of manufacturing processes through a sophisticated digital representation 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.