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Theresa Madreiter
Theresa Madreiter
Research Assistant, Technische Universität Wien
Verified email at tuwien.ac.at
Title
Cited by
Cited by
Year
From OEE to OSEE: How to reinforce Production and Maintenance Management Indicator Systems for Sustainability?
T Madreiter, F Ansari
IFAC-PapersOnLine 58 (8), 204-209, 2024
92024
Combining process monitoring with text mining for anomaly detection in discrete manufacturing
T Biegel, N Jourdan, T Madreiter, L Kohl, S Fahle, F Ansari, ...
Proceedings of the 12th Conference on Learning Factories (CLF 2022), 2022
82022
A text understandability approach for improving reliability-centered maintenance in manufacturing enterprises
T Madreiter, L Kohl, F Ansari
IFIP International Conference on Advances in Production Management Systems …, 2021
82021
Sustainable Maintenance: What are the key technology drivers for ensuring Positive Impacts of Manufacturing Industries?
T Madreiter, B Trajanoski, A Martinetti, F Ansari
IFAC-papersonline 58 (19), 616-621, 2024
72024
A work-based learning approach for developing robotics skills of maintenance professionals
S Nixdorf, T Madreiter, S Hofer, F Ansari
Proceedings of the 12th Conference on Learning Factories (CLF 2022), 2022
62022
Expanding the boundaries of zero defect manufacturing-a systematic literature review
B Gal, T Madreiter, N Scheder, E Liesinger, P Hold, S Schlund
Procedia CIRP 122, 336-341, 2024
52024
An AI-enhanced Approach for optimizing life cycle costing of military logistic vehicles
L Reichsthaler, T Madreiter, J Giner, R Glawar, F Ansari, W Sihn
Procedia CIRP 105, 296-301, 2022
32022
Design and development of a prototype of a text understanding tool for maintenance 4.0 by measuring associations, readability and sentiment (TU-MARS)
T Madreiter
Wien, 2020
32020
Prescriptive Decision-Making for Sustainable Production Management: An Overall Sustainable Equipment Effectiveness (OSEE) Framework Using Causal AI
T Madreiter, F Ansari
International Journal of Prognostics and Health Management 16 (4), 2025
22025
Knowledge-graph based approach for automated selection of spare parts suitable for additive manufacturing: a railway use-case
T Madreiter, P Besinger, S Archila, L Kohl, F Ansari
Cranfield University, 2024
12024
AI-Enhanced Fault Detection Using Multi-Structured Data in Semiconductor Manufacturing
L Kohl, T Madreiter, F Ansari
Multimodal and Tensor Data Analytics for Industrial Systems Improvement, 297-312, 2024
2024
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Articles 1–11