Digital Twin Driven Manufacturing Systems: Transforming Industrial Operations through Virtualization and Real-Time Data Integration

Dr. Sandeep Kumar Chouksey, Arjun Bhardwaj

Abstract


Digital Twin (DT) technology has emerged as a revolutionary approach to enhance manufacturing systems by bridging the gap between physical assets and their virtual counterparts. By integrating real-time data, advanced analytics, and simulation models, digital twins enable predictive maintenance, process optimization, and enhanced decision-making across production environments. This paper explores the concept of digital twin-driven manufacturing systems, highlighting their architecture, applications, challenges, and future potential. The study emphasizes the transformative impact of digital twins on industrial operations, offering a pathway toward intelligent, flexible, and resilient manufacturing.

KEYWORDS: Digital Twin, Manufacturing Systems, Predictive Maintenance, Industrial IoT, Smart Manufacturing, Virtual Simulation, Real-Time Data


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