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Sarah Schaumann
Sarah Schaumann
Ph.D. Student, ETH Zurich
Verified email at ethz.ch
Title
Cited by
Cited by
Year
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
162021
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
12024
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
12023
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
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