| Using explainable artificial intelligence to improve process quality: Evidence from semiconductor manufacturing J Senoner, T Netland, S Feuerriegel Management Science 68 (8), 5704-5723, 2022 | 116 | 2022 |
| Using process mining to improve productivity in make-to-stock manufacturing R Lorenz, J Senoner, W Sihn, T Netland International Journal of Production Research 59 (16), 4869-4880, 2021 | 48 | 2021 |
| Teaching Lean with Virtual Reality: Gemba VR TH Netland, R Lorenz, J Senoner Proceedings of the 6th European Lean Educator Conference, 29-37, 2020 | 5 | 2020 |
| Artificial intelligence in manufacturing: Augmenting humans at work J Senoner ETH Zurich, 2021 | 2 | 2021 |
| Unlocking Carbon Reduction Potential with Reinforcement Learning for the Three-Dimensional Loading Capacitated Vehicle Routing Problem S Schoepf, S Mak, J Senoner, L Xu, N Torbjörn, A Brintrup arXiv preprint arXiv:2307.12136, 2023 | 1 | 2023 |
| Immersive Learning with Virtual Field Visits: Spherical Video-Based Virtual Reality of Factory Environments T Netland, R Lorenz, D Kwasnitschka, J Senoner, C Gróf INFORMS Transactions on Education, 2023 | | 2023 |
| Addressing distributional shifts in operations management: The case of order fulfillment in customized production J Senoner, B Kratzwald, M Kuzmanovic, TH Netland, S Feuerriegel Production and Operations Management 32 (10), 3022-3042, 2023 | | 2023 |
| Using machine learning to predict delays in engineer-to-order projects J Käser, J Senoner, SM Hope, TH Netland 27th Annual EurOMA Conference, Warwick, United Kingdom: European Operations …, 2020 | | 2020 |
| Using machine learning to improve manufacturing: Proposing and validating a data-driven framework J Senoner, O Flaeschner, TH Netland 26th Annual EurOMA Conference, Helsinki, Finland: European Operations …, 2019 | | 2019 |
