Below you will find the current topic proposals of the Institute for master theses.
- If you require further (detailed) information on individual topics, please contact the supervising employee directly by e-mail or telephone. We are always open to constructive ideas for a possible adaptation of topics.
- Please also send your application for a specific topic directly to the supervising employee. The application documents should include a current curriculum vitae as well as your most important certificates and degrees.
This thesis investigates approaches for arrival management (road) at combined transport terminals in order to improve the efficiency and performance of these transport hubs. An efficient arrival management aims at avoiding bottlenecks, optimizing the transshipment process and ensuring smooth freight traffic. The thesis analyzes different approaches and technologies of arrival management and identifies optimization potentials for the future design of combined transport hubs. [more]
In the master thesis, a solution approach for the optimization of handling processes for container terminals in the hinterland is to be developed. For this purpose, methods from the fields of machine learning or operations research are to be applied. The developed solution shall be tested in the context of a research project. [more]
In your work you focus on the existing models of sensor transfer learning from electro-optical
sensors to motion sensors. You will compare the applicability of the models to the maritime domain and the use on board for the purpose of wave height determination. In the current literature, only singular sensor values have been considered so far, disregarding transfer learning. [more]
In order to prevent global warming, container terminals must also initiate measures to reduce their emissions. In container terminals, the moving and container-transporting equipment is considered the main source of greenhouse gases, which is why these are increasingly to be replaced by more climate-friendly technologies. Features that are already standard in container terminals have not yet been taken into account in Academia to some extent. [more]
The primary objective of this study is to develop a comprehensive understanding of tugboat allocation in port operations. Specifically, to answer the critical question of how many tugboats are needed in a given port while taking into account a range of variables that impact towage services. The goal is to insights that can guide efficient resource allocation, reduce operational costs, and enhance the overall quality of towage services. [more]
Offshore wind energy projects are particularly complex due to their geographical location and the associated logistical challenges. This includes factors such as weather conditions, sea state, and the supply chain coordination. Machine learning offers the potential to address this complexity by enabling data-driven decisions that can increase the efficiency and realibility of logistics processes. [mehr]