TU Ilmenau
Current Doctoral Theses
- Operational Decision Support for Scheduling and Sequencing in the Semiconductor Industry using a Combination of Stochastic Backward Simulation and Machine Learning: Madlene Leißau
- Method for Forecasting Energy Demand Time Series using Sequence-to-Sequence: Benjamin Wörrlein
- Automation in the Process of Knowledge Discovery in Simulation Data: Jonas Genath
- Hybrid Digital Twins of Operational Production Systems: Richard Scheer
- Evaluation and Increase of Efficiency of Intralogistics Systems based on Digital Twins: Kim Jessica Kühner
- Methods for Efficient Evaluation and Selection of Alternative Actions in Preventive Decision and Control Systems: Sören Stelzer
Alumni
- Mobile Assistance Systems in Intralogistics of the Automotive Industry - Design, Benefits and Acceptance of Augmented Reality-based Human-Machine Interfaces: Anke Hafner (Supervisor: Prof. Straßburger), defended on 08.02.2022
- Simulation-based Optimization of Energy Efficiency in Production: Anna Carina Römer (Supervisor: Prof. Straßburger), defended on 15.07.2020
- Interdisciplinary Safeguarding of Production Planning in the Automotive Industry: Karl-Josef Wack (Supervisor: Prof. Straßburger), defended on 25.11.2019
- Knowledge discovery in the context of production simulation: NiclasFeldkamp (Supervisor: Prof. Straßburger), defended on 10.09.2019
- Economic generation of emulation models for virtual commissioning: Torben Meyer (Supervisor: Prof. Straßburger), defended on 17.03.2014
- Automatic generation of adaptive models for the simulation of production systems: SörenBergmann (Supervisor: Prof. Straßburger), defended on 12.09.2013
- Economic generation of supply simulations using computer-aided plausibility methods for input data evaluation: Hannes Müller-Sommer (Supervisor: Prof. Straßburger), defended on 25/06/2012.
- Scalable agent-based simulation - Tools and techniques for distributed simulation of agent-based models: Dirk Pawlaszczyk (Supervisor: Prof. Straßburger), defended on 28.05.2009
- Parallelizable scheduling methods as a building block for a multiagent system: Ilka Habenicht (Supervisor: Prof.Mönch / Prof. Gmilkowsky
- Potential of Bayesian Networks for the Support of Production Planning and Control: Torsten Munkelt (Supervisor: Prof. Gmilkowsky), defended on 16.12.2008
Pixabay/Mohamed Hassan