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Philipp Pelz studied business informatics at the University of Passau (B.Sc.) and at the University of Regensburg (M.Sc.). He focused on data science, machine learning and uncertainty quantification. He also gained practical experience as an intern at ZF Friedrichshafen AG and as a working student at Infineon Technologies AG. Since September 2023, Philipp Pelz has been working as a research assistant at the Chair of Production Management.

Research interest

Stochastic Modeling and Optimization of Patient-to-Room Allocations in Hospital Wards

The growing gap between the demand for care and the limited supply of beds in hospital wards increases the need to make efficient decisions when determining which patient should be allocated to which room. These decisions must be made while considering constraints such as the patients’ gender and other practically relevant restrictions in the allocation process.

The objective is to improve decision-making to avoid unnecessary transfers of patients between rooms. These transfers affect patients’ satisfaction negatively and increase the staff’s workload. Philipp Pelz develops stochastic models to support these decisions under consideration of stochastic influences such as emergency arrivals and variability in the length of stay.

 

 

Presentations

Philipp Pelz

Research Assistant: Chair of Production Management

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