Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Pal Pandian, P.; Sasianandham, K.; Katherrine, C.J. Title A name given to the resource Digital Twins for predictive maintenance of Production and Machines: A Comprehensive Review Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Proceedings of the 2025 International Conference on Computational Innovations and Sustainable Technologies, ICCIST 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCIST67338.2025.11438591" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCIST67338.2025.11438591</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037446173?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037446173?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pal Pandian P., Christ University, School of Engineering and Technology, Department of Mechanical and Automobile Engineering, Bangalore, 560074, India; Sasianandham K., Christ University, School of Engineering and Technology, Department of Mechanical and Automobile Engineering, Bangalore, 560074, India; Katherrine C.J., Christ University, School of Engineering and Technology, Department of Mechanical and Automobile Engineering, Bangalore, 560074, India Description An account of the resource Digital Twin (DT) technology has matured from concept to practice across factories and critical assets, enabling new capabilities in condition-based and predictive maintenance, resilient production planning, and life-cycle decision-making. This review synthesizes current knowledge on DT usage for production and predictive machine maintenance, with concise notes on structural maintenance where SHM (structural health monitoring) increasingly adopts twin concepts. We first consolidate enabling architectures (standards, ontologies, F?FMI-based co-simulation, and hybrid modelling) and then critically survey applications spanning CNC cutting tools, bearings and gearboxes, robotic cells, and production lines. We highlight evidence that hybrid (physics + data-driven) twins reduce remaining useful life (RUL) prediction error compared to single-strategy approaches, improve energy-aware scheduling, and shorten diagnosis-to-action loops. Industrial deployments demonstrate up to 20-30% reduction in unplanned downtime when DT-enabled predictive maintenance is integrated into operational workflows Finally, we surface open challenges - data governance, model validation, uncertainty quantification, interoperability, and work-force adoption - and propose a practical roadmap to make DT predictive maintenance projects production-ready. 2025 IEEE. Subject The topic of the resource Digital Thread; Digital Twin; Edge computing; FMI/FMUs; Hybrid Modelling; Industry 4.0; Machine Learning; Ontologies; Predictive Maintenance; Production Systems; Structural Health Monitoring Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833159676-7; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online