Logo image
Back
AI-Driven Smart Manufacturing: Digital Twin and VR-Enabled Predictive Maintenance for Industrial Efficiency Optimization
Journal article

AI-Driven Smart Manufacturing: Digital Twin and VR-Enabled Predictive Maintenance for Industrial Efficiency Optimization

Yunshun Chiou, Nijanthan Vasudevan, Arjuna Karthikeyan Senthilvel Kavitha and Tzu Liang Tseng
Proceedings of ASME 2025 International Mechanical Engineering Congress and Exposition, IMECE 2025, v 7, V007T10A039
2025
DOI: https://doi.org/10.1115/IMECE2025-167195

Abstract

AI-Driven Predictive Maintenance Data-Driven Process Optimization Digital Twin Industrial Automation Industry 4.0 Smart Manufacturing Virtual Reality
The advent of Industry 4.0 has driven the integration of artificial intelligence (AI), digital twin technology, and virtual reality (VR) into modern manufacturing ecosystems. This study presents an AI-enhanced digital twin framework for intelligent manufacturing monitoring, using real-world datasets and standardized repositories, with a focus on predictive maintenance and process optimization. The proposed system combines predictive analytics, synchronized simulation, and immersive VR training to deliver real-time insights supporting proactive decision-making. Key contributions include a multivariate time-series predictive maintenance model, a physics-aware digital twin, and human-in-the-loop VR training modules. A predictive maintenance model powered by AI and deep learning algorithms forecasts potential equipment failures based on historical anomaly detection and operational telemetry, significantly reducing unscheduled downtime. Experimental results demonstrate significant improvements in overall equipment effectiveness (OEE), defect reduction, and downtime minimization. Additionally, preliminary explainable AI analyses (SHAP and LIME) enhance interpretability and operator trust. The findings underscore the potential of integrated AI-digital twin-VR ecosystems as a scalable approach for next-generation smart manufacturing across domains such as aerospace, pharmaceuticals, and automotive production.

Metrics

1 Record Views

Details

Logo image