- Learning from the Aggregated Optimum: Managing Port Wine Inventory in the Face of Climate Risks. European Journal of Operational Research, 2024 mehr…
- Learning from the aggregated optimum: Managing port wine inventory in the face of climate risks. European Journal of Operational Research, 2024 mehr…
- Mid-term nurse rostering considering cross-training effects. International Journal of Production Economics 196, 2018, 176-187 mehr…
Alexander Pahr
Doctoral candidate
Email: alexander.pahr(at)tum.de
Phone: +49 (0)89 289 24878
Room: 1531 (building 0505)
Research interests
- Mathematical modeling and optimization
- Deep Reinforcement Learning
- Food industry
Education & Employment
| Since 03/2019 | Research associate Chair of Production & Supply Chain Management, Technical University of Munich, Germany |
| 10/2016 - 03/2020 | B.Sc. in Information Systems |
| 10/2016 - 03/2019 | M.Sc. in Management and Technology |
| 10/2012 - 03/2016 | B.Sc. in Global Business Management |
Publications
Conference contributions
- Exploring the Benefits of Dynamic Scheduling in Complex Manufacturing Settings. (Vortrag / 8th Stochastic Modelling Meeting (Milano)) 2024 mehr…
- The Value of Blending – Managing Ameliorating Food Inventory Using Deep Reinforcement Learning. (Vortrag / 8th Stochastic Modelling Meeting, Milan) 2024 mehr…
- Exploring the Benefits of Dynamic Scheduling in Complex Manufacturing Settings. (Vortrag / GPOM Summer 2024) 2024 mehr…
- Deep Reinforcement Learning for Aging Cheese Inventory Management. (Vortrag / International Conference on Operations Research) 2024 mehr…
- Managing Ameliorating Food Inventory Using Deep Reinforcement Learning. International Society for Inventory Research 2023 Summer School, 2023Cardiff mehr…
- Managing ameliorating food with machine learning (Keynote). 6th International Conference on Food and Wine Supply Chains, 2022Bologna, Italy mehr…
- Learning from the Aggregated Optimum: Decision Rules for Managing Ameliorating Food Inventory. MSOM Conference 2022, SIG Day, 2022Munich, Germany mehr…
- Deriving interpretable decision rules from optimal purchasing and blending policies in port wine inventory management. (Vortrag / GPOM online workshop) 2020 mehr…
Student project supervisions
- Blood Platelet Inventory Management Using Deep Reinforcement Learning. , 2024 mehr…
- Constraint Programming for Biopharmaceutical Production Scheduling. , 2024 mehr…
- Deep Reinforcement Learning for the Management of Ameliorating Inventory. , 2024 mehr…
- Dynamic Flow Shop Scheduling Using a Rolling-Horizon Constraint Programming Approach. , 2024 mehr…
- Learning Dispatching Rules in Flow Shop Scheduling: A Gradient-Refined Genetic Programming Approach. , 2024 mehr…
- Deep Reinforcement Learning for Inventory Management of Ameliorating Products: A Cheese Case Study with Focus on Integrating Stochastic Purchase and Sales Prices Using Ornstein-Uhlenbeck Process. Masterarbeit, 2024 mehr…
- Dynamic Available-to-Promise for the outbound logistics - a case study on the semiconductor supply chain. , 2022 mehr…
- Genetic programming learning to solve detailed scheduling using dispatching rules. Masterarbeit, 2022 mehr…
- Deep Reinforcement Learning for Multi-Age Inventory Management with Complex Production Actions. , 2022 mehr…
- Production planning optimization in a rolling horizon environment for capacitated multi-stage blade production systems under demand uncertainty. Masterarbeit, 2021 mehr…
- Digitalization of Supply Chain Processes through Robotic Process Automation: A Case from the Electronics Industry. Masterarbeit, 2020 mehr…
- Robotic Process Automation (RPA) and its potential for improvement of process performance based on a case study in Supply Chain Management. Masterarbeit, 2020 mehr…
- Using Markov Decision Processes for optimal port wine purchasing and sales considering taste-wise blending incompatibilities. Masterarbeit, 2020 mehr…
- Using optimal policies of a Markov Decision Process to derive general decision rules for multi-age inventory management of port wine. Masterarbeit, 2020 mehr…
- Comparison of static and dynamic pricing strategies for the short-term order compensation cost process. Masterarbeit, 2019 mehr…
- Modelling of layout segmentation in flexible production systems. Masterarbeit, 2019 mehr…
- Simulation-based performance analysis of assembly line supply systems in the automotive industry: a comparison of autonomous transportation systems and towing trains. Masterarbeit, 2019 mehr…
- Deep Reinforcement Learning for Perishable Inventory Management. , 2023 mehr…
- Selecting Shareable Tasks: Two-Stage Stochastic Programming for Dynamic Assembly Line Balancing. , 2022 mehr…
- Interpretable ordering and issuance rules for blood platelet inventory management using decision trees. Bachelorarbeit, 2021 mehr…
- A reinforcement learning approach for inventory management in multi-age food systems. Bachelorarbeit, 2020 mehr…
- A simulation of optimal Markov decision process policies - port wine blending and storage management. Bachelorarbeit, 2019 mehr…
(Keine Dokumente in dieser Ansicht)