Deutsch Intern
Lehrstuhl für Wirtschaftsinformatik und Business Analytics


Industry 4.0

We develop new approaches for the integration of data into Decision Support Systems for Operations Management. Our focus is particularly on applications in the areas of production, logistics and service operations management. Examples of applications include predictive maintenance, data-driven sales planning and service innovation in the area of 3D printing ecosystems.

Smart Cities

Our research deals with questions of future energy systems, urban planning and new mobility systems. In particular, we use analytics methods to improve the coordination and management of infrastructures and services in these areas.

Our quantitative research deals with the interface of operations management, microeconomics and business analytics. We are particularly interested in the analysis of large amounts of empirical data (sensor data and transaction data, web scraping) and combine them with state-of-the-art optimization approaches to create and simplify data-based decision support systems.

As part of our research, we cooperate with practical partners in various projects. You will find a selection of these projects here.

Results of our research in the form of publications can be found on the following pages journal publications and other publications.