As part of the D³ group, the Chair of Logistics and Quantitative Methods (Professor Pibernik) offers multiple positions for Doctoral Students within our reserach initiative "AI-based Operations & Supply Chain Management".

A new data-driven approach developed at our chair significantly improves surgery scheduling by accounting for case-specific information, such as individual patient characteristics or details on the surgery type. The method reduces patient wait times and staff overtime by over 35% compared to current hospital practices.

The Chair of Logistics and Quantitative Methods at the University of Würzburg is proud to announce the acceptance of three of our research papers at prestigious international conferences in recent months. Our work focuses on leveraging Time Series Foundation Models and generative AI to revolutionize logistics and supply chain planning.