Method for the application of deep reinforcement learning for optimised control of industrial energy supply systems by the example of a central cooling system M Weigold, H Ranzau, S Schaumann, T Kohne, N Panten, E Abele CIRP annals 70 (1), 17-20, 2021 | 16 | 2021 |
The Flying Sidekick Traveling Salesman Problem with Multiple Drops: A Simple and Effective Heuristic Approach SK Schaumann, A Kundu, JC Pina-Pardo, M Winkenbach, RA Gatica, ... arXiv preprint arXiv:2403.18091, 2024 | 1 | 2024 |
Route efficiency implications of time windows and vehicle capacities in first-and last-mile logistics SK Schaumann, FM Bergmann, SM Wagner, M Winkenbach European Journal of Operational Research 311 (1), 88-111, 2023 | 1 | 2023 |
EXPRESS: Reconciling Rigor vs. Relevance: Lessons from Humanitarian Fleet Management SK Schaumann, B Thakur-Weigold, LN Van Wassenhove Production and Operations Management, 10591478241245977, 2024 | | 2024 |