Dormido, C.; Zefferi, S.
A Methodological Strategy for AI Supply Chain Task Selection: A Case Study at Infineon Technologies AG
Projektarbeit
2026

Leutbecher, L.
Exploring Foundation Models for Production Scheduling
IDP-Arbeit
2026

Doerr, J; Schott, S; Bilaj, S.; Lou, Y.; Tasuchinsky, A.
Reinforcement Learning for Assembly Scheduling
IFORS 2026 - The 24th Conference of the International Federation of Operational Research Societies
Universität Wien
2026

Wohlleber, T.; Doerr, J.; Grunow, M.
A Bayesian Approach for Stochastic Workload Balancing of Automotive Part Dispatchers
IFORS 2026 - The 24th Conference of the International Federation of Operational Research Societies
Universität Wien
2026

Wohlleber, T.; Doerr, J.; Grunow, M.
A Bayesian Approach for Stochastic Workload Balancing of Automotive Part Dispatchers
GPOM Workshop Summer 2026
Universität Regensburg
2026

Wohlleber, T.
Order-to-Delivery: Which Vehicle Orders should be Scheduled When? Vehicle Order Allocation in Capacity-Constrained Production Systems
Gastvorlesung
Katholischen Universität Eichstätt-Ingolstadt
2026

Kumlu, E.
Workforce Planning for Automotive Dispatchers with Uncertain Skill Demand
2026

Schott, S.
Solving Scheduling Problems via Policy-guided Deep Reinforcement Learning
Masterarbeit
2026

Schott, E.
Neural Genetic Algorithm for Job Shop Scheduling
Masterarbeit
2026

Edenhofer, M.; Jäger J.
Hierarchical Supplier Selection for a Student-Designed Solar Prototype Vehicle
Projektarbeit
2024