Veranstaltungsprogramm

10:00 - 10:30

Potenziale von Large Language Models zur Unterstützung der Modellierung von Simulationseingabedaten

Niclas Feldkamp, Sören Bergmann, Aviral Anthwal

TU Ilmenau, Deutschland

10:30 - 11:00

A Comparative Simulation Study of Deep Reinforcement Learning and Dispatching Rules for a Complex Job Shop

Zhugen Zhou, Oliver Rose

der Universität der Bundeswehr München, Deutschland

11:00 - 11:30

Sensitivity analysis of EncodedRL: Assessing the impact of state compression levels on dynamic scheduling performance

David Heik, Fouad Bahrpeyma, Dirk Reichelt

Hochschule für Technik und Wirtschaft Dresden, Deutschland

11:30 - 12:00

A Simulation Framework to Study Partial Observability in Production Planning and Control with Reinforcement Learning

Mikhail Polikarpov^1,2, Marius Syberg^1,2, Nikolai West^1,2, Jochen Deuse^1,2,3

¹Institute of Production Systems (IPS), TU Dortmund, Germany; ²RIF Institute for Research and Transfer e.V., Dortmund, Germany; ³Centre for Advanced Manufacturing, University of Technology, Sydney, Australia