Office hours any time by previous appointment
My research focuses on the design of efficient disassembly systems. It centres on human-centred planning with an emphasis on worker preferences and fairness, as well as decision-making under uncertainty. To this end, I use methods from Operations Research.
For thesis projects, please see the current topics or contact me by email.
Schulze, J. (2025): Solving the Stochastic Dynamic k-Travelling Repairperson Problem with Deep Reinforcement Learning, in: International Conference on Operations Research (OR 2025), Bielefeld, Germany, 2025-09-03.
Weckenborg, C.; Schulze, J.; Schmidt, K.; Spengler, T. S. (2025): Integrating Worker Preferences in Disassembly Line Balancing, in: International Conference on Operations Research (OR 2025), Bielefeld, Germany, 2025-09-03.