Pahr, Alexander;Grunow, Martin;Amorim, Pedro
Learning from the aggregated optimum: Managing port wine inventory in the face of climate risks
European Journal of Operational Research
2024

Pahr, Alexander; Grunow, Martin
Managing Ameliorating Food Inventory Using Deep Reinforcement Learning
International Society for Inventory Research 2023 Summer School
Cardiff
2023

Pahr, Alexander; Grunow, Martin
The Value of Blending – Managing Ameliorating Food Inventory Using Deep Reinforcement Learning
8th Stochastic Modelling Meeting, Milan
2024

Kolemesina, Anna; Pahr, Alexander; Grunow, Martin
Deep Reinforcement Learning for Aging Cheese Inventory Management
International Conference on Operations Research
2024

Pahr, Alexander; Grunow, Martin; Amorim, Pedro
Learning from the Aggregated Optimum: Managing Port Wine Inventory in the Face of Climate Risks
European Journal of Operational Research
2024

Samuel Schott
Deep Reinforcement Learning for Perishable Inventory Management
2023

Maximilian Raupenstrauch
Dynamic Flow Shop Scheduling Using a Rolling-Horizon Constraint Programming Approach
2024

Minyu Wu
Deep Reinforcement Learning for the Management of Ameliorating Inventory
2024

Luisa Beck
Constraint Programming for Biopharmaceutical Production Scheduling
2024

Florian Minnameier
Learning Dispatching Rules in Flow Shop Scheduling: A Gradient-Refined Genetic Programming Approach
2024