Thomas Trautner

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About

Thomas Trautner is a leading researcher in the field of digital twin technology, with a particular focus on its application in flexible manufacturing systems. His work centers on the development and operation of digital twins, which are virtual representations of physical systems that leverage real-time data to optimize, manipulate, and interact with real-world processes. Trautner’s major contribution lies in bridging the gap between theoretical digital twin frameworks and practical industrial implementation, as exemplified by his highly cited 2023 paper on using ISO 23247 standards to create digital twins for flexible manufacturing cells. This work, which has garnered 28 citations, demonstrates how digital twin complexity can be scaled from simple to highly complex use cases, providing a roadmap for manufacturers to enhance efficiency and adaptability. His research is instrumental in advancing Industry 4.0, offering tangible solutions for real-time system optimization and predictive maintenance. Trautner’s achievements highlight his role in shaping the future of smart manufacturing, making his work essential reading for students and researchers exploring the intersection of digital twins, automation, and production flexibility.