Digital Twin Technology for Integration and Optimization of Manufacturing Systems
DOI:
https://doi.org/10.63282/3050-922X.IJERET-V5I1P104Keywords:
Digital Twin, Manufacturing Systems, Industry 4.0, Predictive Maintenance, Simulation, Optimization, System Integration, Real-time Monitoring, Smart Manufacturing, Cyber-Physical Systems, Systems Engineering, Virtual Commissioning, Lifecycle ManagementAbstract
Digital Twin (DT) technology is transforming modern manufacturing systems by providing real-time virtual representations of physical assets, enabling continuous monitoring, simulation, and optimization. This paper explores the integration of Digital Twins within manufacturing environments, focusing on their effects on productivity, maintenance strategies, and system-wide efficiency. Through detailed case studies, the paper demonstrates how DTs have overcome significant operational challenges. Furthermore, a structured framework for effective DT implementation is proposed, addressing ongoing research and potential future developments. The paper incorporates data tables, graphical placeholders, and comprehensive references to provide a thorough understanding of Digital Twin technology. Digital Twins have proven invaluable across various sectors including aerospace, healthcare, energy, and manufacturing. As industries transition towards smart operations and predictive maintenance, DTs offer a competitive edge by minimizing downtime, optimizing performance, and supporting data-driven decision-making (Shashank, 2024)
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