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 optimization and simulation.
For thesis projects, please see the current topics or contact me by email.
Schulze, J. (2026): Präferenzbasierte Aufgabenzuordnung im Disassembly Line Balancing – Ein Discrete Choice Experiment zur Erhebung individueller Präferenzen, in: 27. Doktorandenworkshop Nordost, Wittenberg, Germany, 2026-05-08.
Schulze, J. (2026): Digital Business – Wie Algorithmen unseren Alltag, Produktion und Nachhaltigkeit prägen, in: Business4School Business College 2026, Braunschweig, Germany, 2026-05-11.
Schulze, J.; Schmidt, K.; Weckenborg, C.; Spengler, T. S. (2026): Präferenzen der Mitarbeitenden sichtbar machen: Ein Discrete-Choice-Experiment in der Demontage von Elektroaltgeräten, Kassel, Germany, 2026-03-12.
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.
| Semester | Subject |
|---|---|
| WS 25/26 | Support of the lecture "Operations Management" |
| WS 24/25 | Support of the lecture "Operations Management in the Automotive Industry" |
| since WS 24/25 | Seminar: "Softwaretools: Discrete-event Simulation in Production and Logistics" |
| WS/SS | Mentoring students in the context of scientific theses |