PhD. Engineering and Technology

Post Doctoral Researcher

Research Unit Production and Maintenance Management | Institute of Management Science | Faculty of Mechanical and Industrial Engineering

TU Wien

E-Mail: sara.scheffer@tuwien.ac.at

Linkedin , opens an external URL in a new window- ResearchGate, opens an external URL in a new window

Education

• Postdoctoral researcher for Research Group of Production and Maintenance Management (Former Smart and Knowledge-Based Maintenance), Institute of Management Science, TU Wien, Vienna, Austria, 2024
• Ph.D. in Engineering Technology, Department of Design, Production, and Management, Chair of Asset Management and Maintenance Engineering, University of Twente, the Netherlands, 2024
• M.Sc., Industrial Engineering & Management, University of Groningen, The Netherlands, 2020
• B.Sc., Naval Architecture, NHL, Leeuwarden, The Netherlands, 2016

Research topics

• Augmented Reality
• Information Technology
• Maintenance Operation
• Fault Detection
• Human-Computer Interaction
• Decision-support systems

Publications

• Scheffer, S., Martinetti, A., Damgrave, R., & Van Dongen, L. (2021). Augmented reality for IT/OT failures in maintenance operations of digitized trains: Current status, research challenges and future directions. Procedia CIRP, 100, 816-821.
• Scheffer, S., Martinetti, A., Damgrave, R., Thiede, S., & van Dongen, L. (2021). How to make augmented reality a tool for railway maintenance operations: operator 4.0 perspective. Applied Sciences, 11(6), 2656.
• Scheffer, S., Limmen, N., Damgrave, R., Martinetti, A., Rosic, B., & van Dongen, L. (2021, October). Troubleshooting: a dynamic solution for achieving reliable fault detection by combining augmented reality and machine learning. In Proceedings of the The 10th International Conference on Through-Life Engineering Services.
• Damgrave, R., Scheffer, S., & Lutters, E. (2023). Augmented reality support to employ tacit knowledge in non-conforming operations. Procedia CIRP, 120, 1475-1480.
• Scheffer, S. S., Martinetti, A. A., Damgrave, R. R., & van Dongen, L. L. (2023). Supporting maintenance operators using augmented reality decision-making: visualize, guide, decide & track. Procedia CIRP, 119, 782-787.

PhD Thesis

• Scheffer, S. E. (2024). Let’s augment the future together! Augmented reality troubleshooting support for IT/OT rolling stock failures. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036560184