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@article{189543,
        author = {Dr. Omkar Ghatage and Mrs. Siddhi Omkar Ghatage},
        title = {Unlocking Manufacturing Excellence: The Power of ML-Driven Digital Twins},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {6946-6950},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189543},
        abstract = {Transforming industrial operations with intelligent virtual replicas for unparalleled efficiency and innovation. Key Insights into ML-Based Digital Twin Modeling• Predictive Maintenance Revolutionized: Machine Learning within digital twins accurately forecasts equipment failures, dramati- cally reducing downtime and extending asset lifespans through proactive intervention.• Dynamic Process Optimization: ML algorithms simulate countless production scenarios, identifying optimal workflows, batch sizes, and scheduling to maximize efficiency and minimize waste across the entire manufacturing lifecycle.• Real-time Quality Assurance: Intelligent digital twins continuously monitor production for anomalies and defects, ensuring consistent product quality and adherence to strict industry standards.In the rapidly evolving landscape of smart manufacturing, the synergy between Machine Learning (ML) and Digital Twin (DT) technology is fundamentally reshaping how industries operate. A digital twin is a dynamic, virtual replica of a physical asset, process, or system. This virtual counterpart mirrors its real-world counterpart using real-time data from sensors and IoT devices. When enhanced with ML algorithms, these digital twins transcend simple simulation, becoming intelligent, adaptive systems capable of predictive analytics, autonomous decision-making, and continuous optimization. This powerful combination creates an "AI-native factory" environment where virtual models actively participate in the manufacturing lifecycle. By leveraging vast amounts of sensor data, ML-powered digital twins can analyze patterns, simulate future scenarios, and provide profound insights into operations, driving unprecedented levels of efficiency, innovation, and sustainability. The Foundational Role of Digital Twins in Smart ManufacturingA digital twin acts as a bridge between the physical and digital worlds. It’s not merely a 3D model, but a live, evolving entity that reflects the current state and behavior of its physical counterpart. This real-time mirroring allows manufacturers to monitor, understand, and interact with complex systems without physically touching them. The integration of ML elevates these digital twins from passive representations to active, intelligent agents within the manufacturing ecosystem.},
        keywords = {},
        month = {December},
        }