| Decision rules for robotic mobile fulfillment systems M Merschformann, T Lamballais, MBM De Koster, L Suhl Operations Research Perspectives 6, 100128, 2019 | 136 | 2019 |
| RAWSim-O: A simulation framework for robotic mobile fulfillment systems M Merschformann, L Xie, H Li arXiv preprint arXiv:1710.04726, 2017 | 47 | 2017 |
| Path planning for robotic mobile fulfillment systems M Merschformann, L Xie, D Erdmann arXiv preprint arXiv:1706.09347, 2017 | 28 | 2017 |
| Dynamic policies for resource reallocation in a robotic mobile fulfillment system with time-varying demand T Lamballais, M Merschformann, D Roy, MBM de Koster, K Azadeh, ... European Journal of Operational Research 300 (3), 937-952, 2022 | 26 | 2022 |
| Active repositioning of storage units in robotic mobile fulfillment systems M Merschformann Operations Research Proceedings 2017: Selected Papers of the Annual …, 2018 | 17 | 2018 |
| Metaheuristics approach for solving personalized crew rostering problem in public bus transit L Xie, M Merschformann, N Kliewer, L Suhl Journal of Heuristics 23, 321-347, 2017 | 17 | 2017 |
| Structure-preserving instance generation Y Malitsky, M Merschformann, B O’Sullivan, K Tierney Learning and Intelligent Optimization: 10th International Conference, LION …, 2016 | 9 | 2016 |
| Metaheuristics approach for solving multi-objective crew rostering problem in public transit L Xie, M Merschformann, N Kliewer, L Suhl Working paper. University of Paderborn, Germany, 2013 | 8 | 2013 |
| Multi-agent path finding with kinematic constraints for robotic mobile fulfillment systems M Merschformann, L Xie, D Erdmann | 4 | 2018 |
| Controlling Robotic Mobile Fulfillment Systems and Further Topics in Decision Support M Merschformann Universität Paderborn, 2019 | | 2019 |
| Algorithm Configuration Applied to Heuristics for Three-Dimensional Knapsack Problems in Air Cargo M Merschformann Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | | 2015 |
