Skip to main content
University of Regensburg
DE: diese Seite auf deutsch

Andreas Kloos

Andreas Kloos trained as a bank clerk and holds a B. A. in Business Adminstration from the OTH Regensburg and a M. Sc. in the same field from the University of Regensburg. His bachelor's degreee focused on finance, while his master's degree focused on business informatics, industrial management as well as business analytics and operations management. During his studies, he was employed as a teaching assistant in the file of statistics and gained further practical experience as a working student at Maschinenfabrik Reinhausen and the IHK Regensburg. Since September 2024, Andreas Kloos has been working as a research assistant at the Chair of Production Management.

Andreas Kloos

Research Assistant: Chair of Production Management

Further info of Andreas Kloos (external link, opens in a new window)

Research Interests

Performance Evaluation and Optimization via Neural Networks and Mixed Integer Programming

Since manufacturing systems are often subject to stochastic effects, such as random machine failures and variable processing times, it is necessary to account for these effects when modelling such systems. Discrete Event Simulation (DES) is commonly employed for performance evaluation due to its flexible modelling capabilities. However, DES can be time-consuming, when evaluating performance measures with high accuracy. To address this limitation, Neural Networks (NNs) can be trained on simulation data and subsequently used to rapidly approximate the performance also for out-of-sample system configurations. The primary focus of my research is to identify suitable NN architectures for efficient performance evaluation and to explore methodologies for integrating trained NNs into optimization approaches for discrete optimization problems in manufacturing systems.

Presentations

To top