Staff
Professor
Prof. Dr. Udo Buscher
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Visitors' Adress:
Fakultät Wirtschaftswissenschaften, Hülße-Bau, HÜL 502 (North wing) Helmholtzstraße 10
01069 Dresden
Office hours:
on appointment
Secretariat
Visiting address:
Fakultät Wirtschaftswissenschaften, Hülsse-Bau, HÜL N 503 Helmholtzstraße 10
01069 Dresden
Office hours:
- Tuesday:
- 09:00 - 11:00
- 13:00 - 15:00
- Wednesday:
- 09:00 - 11:00
- 13:00 - 15:00
Scientific Associates
| Operations Management | Applied Operations |
|---|---|
|
Benedikt Zipfel |
Dr. Martin Scheffler |
| Lisa Wesselink | |
| Paul Päprer | |
| Daniel Miodowski |
| Prescriptive Analytics | Supply Chain Operations |
|---|---|
| Florian Linß (Working group head) |
Maria Beranek (Working group head) |
| Franz Ehm | Alexander Blume |
| Aron Lange | Shiyu Guo |
| Daniel Zähringer |
| Clover Optimization | ||
|---|---|---|
| Dr. Leopold Kuttner | Maurice Morabel | Felix Tamke |
Clover Optimization is a startup at the Chair of Industrial Management. Further information can be found here.
Our team is divided into the three areas of Operations Management, Prescriptive Analytics and Applied Operations. In the field of Operations Management, our main interest in research, teaching and transfer is to plan, design and control production and logistics systems. The focus is on classical production management and thus on the optimization of strategic, tactical or operational decisions in the production of goods and services. Above all, methods of operations research are applied.
The working group Applied Operations focusses on the application of operations research methods to a variety of practical use cases, even beyond the industrial sector. The aim is to provide decision support based on state-of-the-art research knowledge for real-life situations. For this purpose, the transfer from theory to practice takes place in close exchange across working groups.
The Prescriptive Analytics team investigates the intersection of data analytics and operations research. Companies are constantly collecting more and more data. On this basis, it is possible to determine why something has happened (Descriptive/Diagnostic Analytics), but also what will happen in certain situations (Predictive Analytics). The logical next step is to use state of the art mathematical optimization approaches to support and objectify future decisions in a data-driven manner.
The Supply Chain Operations working group focuses on the modelling and analysis of supply chains using quantitative methods. In particular, game theory methods are applied. These allow interdependencies between actors within supply chains to be taken into account, decision-making processes to be understood and recommendations for practical action to be derived.
Student assistants and tutors
| Markus Höfling | Max Hockeborn | Maximilian Hubmann |
| Lea Sophie Rosenhagen | Konstantin Rzittky | |