| PriMa: a prescriptive maintenance model for cyber-physical production systems F Ansari, R Glawar, T Nemeth International Journal of Computer Integrated Manufacturing 32 (4-5), 482-503, 2019 | 316 | 2019 |
| A procedural approach for realizing prescriptive maintenance planning in manufacturing industries K Matyas, T Nemeth, K Kovacs, R Glawar Cirp Annals 66 (1), 461-464, 2017 | 179 | 2017 |
| Prescriptive maintenance of CPPS by integrating multimodal data with dynamic Bayesian networks F Ansari, R Glawar, W Sihn Machine Learning for Cyber Physical Systems: Selected papers from the …, 2019 | 83 | 2019 |
| An approach for the integration of anticipative maintenance strategies within a production planning and control model R Glawar, M Karner, T Nemeth, K Matyas, W Sihn Procedia CIRP 67, 46-51, 2018 | 54 | 2018 |
| A conceptual model to enable prescriptive maintenance for etching equipment in semiconductor manufacturing F Biebl, R Glawar, A Jalali, F Ansari, B Haslhofer, P de Boer, W Sihn Procedia CIRP 88, 64-69, 2020 | 41 | 2020 |
| Predicting time-to-failure of plasma etching equipment using machine learning A Jalali, C Heistracher, A Schindler, B Haslhofer, T Nemeth, R Glawar, ... 2019 IEEE international conference on prognostics and health management …, 2019 | 38 | 2019 |
| Conceptual design of an integrated autonomous production control model in association with a prescriptive maintenance model (PriMa) R Glawar, F Ansari, C Kardos, K Matyas, W Sihn Procedia CIRP 80, 482-487, 2019 | 30 | 2019 |
| Complementary research and education opportunities—a comparison of learning factory facilities and methodologies at TU Wien and MTA SZTAKI Z Kemény, J Nacsa, G Erdős, R Glawar, W Sihn, L Monostori, E Ilie-Zudor Procedia CIRP 54, 47-52, 2016 | 30 | 2016 |
| A process model for enhancing digital assistance in knowledge-based maintenance K Kovacs, F Ansari, C Geisert, E Uhlmann, R Glawar, W Sihn Machine Learning for Cyber Physical Systems: Selected papers from the …, 2018 | 23 | 2018 |
| A holistic approach for quality oriented maintenance planning supported by data mining methods R Glawar, Z Kemeny, T Nemeth, K Matyas, L Monostori, W Sihn Procedia cIRP 57, 259-264, 2016 | 23 | 2016 |
| Expanding production perspectives by collaborating learning factories—perceived needs and possibilities Z Kemény, R Beregi, J Nacsa, R Glawar, W Sihn Procedia Manufacturing 23, 111-116, 2018 | 19 | 2018 |
| A computer vision based approach to reduce system downtimes in an automated high-rack logistics warehouse J Giner, D Katic, K Kovacs, R Glawar, W Sihn Procedia CIRP 118, 1078-1083, 2023 | 17 | 2023 |
| Knowledge Based Maintenance F Ansari, R Glawar Instandhaltungslogistik: Qualität und Produktivität steigern (Praxisreihe …, 2018 | 16 | 2018 |
| An industry-oriented approach for machine condition-based production scheduling M Karner, R Glawar, W Sihn, K Matyas Procedia CIRP 81, 938-943, 2019 | 15 | 2019 |
| White Paper „RESYST “–Resiliente Wertschöpfung in der produzierenden Industrie–innovativ, erfolgreich, krisenfest H Kohl, D Buß, H Gebauer, R Glawar, T Heller, S Klan, T Knothe, B Sai, ... Fraunhofer-Verbund Produktion, München, 2021 | 14 | 2021 |
| Instandhaltung 4.0: Sicherstellung von Produktqualität und Anlagenverfügbarkeit durch einen echtzeitbasierten Instandhaltungsleitstand T Nemeth, R Bernerstätter, R Glawar, K Matyas, W Sihn Zeitschrift für wirtschaftlichen Fabrikbetrieb 110 (9), 569-573, 2015 | 11 | 2015 |
| How can we learn leadership? The vision of the Europe-wide University N Kobza, T Schaefer, R Glawar, D Brandt AI & society 31 (3), 413-429, 2016 | 8 | 2016 |
| Maintenance-Free Factory: A Holistic Approach for Enabling Sustainable Production Management R Glawar, F Ansari, L Reichsthaler, W Sihn, D Toth IFAC-PapersOnLine 55 (10), 2318-2323, 2022 | 7 | 2022 |
| A holistic approach for anticipative maintenance planning supported by a dynamic calculation of wear reserve R Glawar, T Nemeth, K Matyas, W Sihn 1nd International Conference on Maintenance Engineering, 313-324, 2016 | 7 | 2016 |
| White Paper» RESYST «. Resiliente Wertschöpfung in der produzierenden Industrie-innovativ, erfolgreich, krisenfest D Buß, H Gebauer, R Glawar, T Heller, S Klan, T Knothe, H Kohl, B Sai, ... Fraunhofer-Gesellschaft, 2021 | 6 | 2021 |
