| Patient-based nurse rostering in home care J Wirnitzer, I Heckmann, A Meyer, S Nickel Operations Research for Health Care 8, 91-102, 2016 | 125 | 2016 |
| Milk run design: Definitions, concepts and solution approaches A Meyer KIT Scientific Publishing, 2017 | 50 | 2017 |
| Travel time prediction using tree-based ensembles H Huang, M Pouls, A Meyer, M Pauly Computational Logistics: 11th International Conference, ICCL 2020, Enschede …, 2020 | 38 | 2020 |
| Mission planning for emergency rapid mapping with drones K Glock, A Meyer Transportation science 54 (2), 534-560, 2020 | 36 | 2020 |
| Sheet-metal production scheduling using AlphaGo Zero A Rinciog, C Mieth, PM Scheikl, A Meyer Proceedings of the Conference on Production Systems and Logistics: CPSL 2020, 2020 | 25 | 2020 |
| The multi-period service territory design problem–an introduction, a model and a heuristic approach M Bender, A Meyer, J Kalcsics, S Nickel Transportation Research Part E: Logistics and Transportation Review 96, 135-157, 2016 | 25 | 2016 |
| Idle vehicle repositioning for dynamic ride-sharing M Pouls, A Meyer, N Ahuja Computational Logistics: 11th International Conference, ICCL 2020, Enschede …, 2020 | 23 | 2020 |
| Framework for the usage of data from real-time indoor localization systems to derive inputs for manufacturing simulation C Mieth, A Meyer, M Henke Procedia CIRP 81, 868-873, 2019 | 23 | 2019 |
| Transport concept selection considering supplier milk runs–an integrated model and a case study from the automotive industry A Meyer, B Amberg Transportation Research Part E: Logistics and Transportation Review 113, 147-169, 2018 | 23 | 2018 |
| Districting for parcel delivery services–A two-Stage solution approach and a real-World case study M Bender, J Kalcsics, A Meyer Omega 96, 102283, 2020 | 21 | 2020 |
| Spatial coverage in routing and path planning problems K Glock, A Meyer European Journal of Operational Research 305 (1), 1-20, 2023 | 18 | 2023 |
| Towards standardising reinforcement learning approaches for production scheduling problems A Rinciog, A Meyer Procedia CIRP 107, 1112-1119, 2022 | 16 | 2022 |
| Automatic building of a repository for component-based synthesis of warehouse simulation models F Kallat, J Pfrommer, J Bessai, J Rehof, A Meyer Procedia CIRP 104, 1440-1445, 2021 | 12 | 2021 |
| A disruption management system for automotive inbound networks: concepts and challenges A Meyer, S Sejdovic, K Glock, M Bender, N Kleiner, D Riemer EURO Journal on Transportation and Logistics 7 (1), 25-56, 2018 | 12 | 2018 |
| Adaptive forecast-driven repositioning for dynamic ride-sharing M Pouls, N Ahuja, K Glock, A Meyer Annals of Operations Research, 1-34, 2022 | 11 | 2022 |
| Autonomously organized block stacking warehouses: A review of decision problems and major challenges J Pfrommer, A Meyer Logistics Journal: Proceedings 2020 (12), 2020 | 11 | 2020 |
| Using component-based software synthesis and constraint solving to generate sets of manufacturing simulation models F Kallat, C Mieth, J Rehof, A Meyer Procedia CIRP 93, 556-561, 2020 | 11 | 2020 |
| Fabricatio-rl: a reinforcement learning simulation framework for production scheduling A Rinciog, A Meyer 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 9 | 2021 |
| Towards standardizing reinforcement learning approaches for stochastic production scheduling A Rinciog, A Meyer arXiv preprint arXiv:2104.08196 19, 2021 | 9 | 2021 |
| Lean training data generation for planar object detection models in unsteady logistics contexts L Dörr, F Brandt, A Meyer, M Pouls 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 8 | 2019 |
