3 papers
cs.AI2024
Demystifying Reinforcement Learning in Production Scheduling via Explainable AI
Daniel Fischer, Hannah M. Hüsener, Felix Grumbach +3
Deep Reinforcement Learning (DRL) is a frequently employed technique to solve scheduling problems. Although DRL agents ace at delivering viable results in short computing times, th…
cs.LG2024
Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling
Arthur Müller, Felix Grumbach, Matthia Sabatelli
Production scheduling is an essential task in manufacturing, with Reinforcement Learning (RL) emerging as a key solution. In a previous work, RL was utilized to solve an extended p…
econ.EM2024
Optimizing Sales Forecasts through Automated Integration of Market Indicators
Lina Döring, Felix Grumbach, Pascal Reusch
Recognizing that traditional forecasting models often rely solely on historical demand, this work investigates the potential of data-driven techniques to automatically select and i…