Alexander Pahr

Alexander Pahr is a doctoral candidate and research associate at the Chair of Production & Supply Chain Management at the Technical University of Munich (TUM). He has been actively involved in academic research since March 2019, contributing to areas such as mathematical modeling, inventory optimization, and deep reinforcement learning applications in food industry contexts.

• B.Sc. in Information Systems (2019), TUM
• M.Sc. in Management and Technology (2019), TUM
• B.Sc. in Global Business Management (2016), University of Augsburg

His research focuses on mathematical modeling and optimization, deep reinforcement learning, and food industry supply chains, particularly for managing ameliorating inventory in perishable product environments like port wine and cheese aging.

Publications highlight trends in deep reinforcement learning for inventory systems, dynamic scheduling under uncertainty, and stochastic optimization in food industry applications.

He has supervised numerous academic projects including Master’s theses on blood platelet inventory, constraint programming for biopharma, and reinforcement learning applications, as well as Bachelor’s theses on perishable inventory management and stochastic programming for assembly lines.