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@article{193308,
        author = {Ms. Nikita Ravindra Rajurkar},
        title = {Digital Twin Technology Architecture, Applications and Research Directions},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {4657-4662},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193308},
        abstract = {Digital Twin (DT) technology has emerged as a cornerstone of Industry 4.0, enabling real-time virtual representation of physical systems for monitoring, simulation, and predictive decision-making. This review paper provides a comprehensive analysis of DT technology, focusing on its architecture, enabling technologies, applications, and future research directions. The paper examines the layered architecture of digital twins, integrating data acquisition, communication, modeling, analytics, visualization, and decision-support layers, while highlighting the role of IoT, AI, big data, edge/cloud computing, and cyber-physical systems. Key applications across manufacturing, aerospace, healthcare, energy, smart cities, and supply chain management are discussed, emphasizing how DTs enhance efficiency, reliability, and sustainability. The review also identifies critical challenges such as data privacy, interoperability, real-time integration, and implementation costs. Finally, emerging research directions, including AI-driven autonomous twins, multi-scale modeling, and human-in-the-loop systems, are outlined, providing insights into the future evolution of DT technology.},
        keywords = {Digital Twin, Industry 4.0, Cyber-Physical Systems, IoT, Artificial Intelligence, Edge Computing, Predictive Analytics, Smart Manufacturing},
        month = {March},
        }