Open Bachelor Topics
Below you will find the current topic proposals of the Institute for bachelor 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.
Comparison of Charging Strategies of Electrified In-plant and Public Vehicle Fleets and their Transferability to Container Terminals
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. What is already common practice in factories or on the road is often still uncharted territory for container terminals. [more]
Comparison of Charging Strategies of Electrified Terminal Trucks in Container Terminals
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. Battery-electric equipment is often the first-best option for decarbonizing container terminal operations. [more]
Bi- and Trimodal Combined Transport Terminals
The aim of this thesis is to compare bi- and trimodal terminals (with a focus on terminals with gantry cranes) especially with regard to their conflicting objectives and logistical performance in order to gain a comprehensive insight into both concepts. The integration of conflicting objectives of transport modes at an intermodal terminal is a complex challenge that has to be considered in the operation of the terminal. Conflicts arise when the goals and requirements of the modes are not perfectly compatible. [more]
Planning of the Road Network at the Quayside of Container Terminals
In the constructional planning of a container terminal, the layout of the quayside is planned at an early stage. This also includes the route network for the means of horizontal transport (lanes, one-way streets, ...). In the thesis, you will conduct a simulation study evaluating alternative road networks at the quayside. Real initial layouts can also be taken from satellite imagery (Google Maps or Google Earth Pro). In the simulation, the main focus is on the waiting times of the ship-to-shore gantry cranes for their means of horizontal transport. However, you equally scale the size of the vehicular fleet and examine the productivity of the vehicles - how long does it take a vehicle to successfully deliver or pick up a container at the ship-to-shore gantry crane? How long do they have to wait at the ship-to-shore container gantry crane? [more]
Classification of models for determining the quota at container terminals
More and more seaport terminals are using so-called time window booking systems to smooth truck arrivals. These systems only work if the maximum number of trucks to be handled per time slot is determined as precisely as possible. The aim of this paper is to provide an overview of different approaches for calculating the quota at terminals and to evaluate them with respect to the criteria set up. [more]
Performance Indicators for Environmental Aspects, Safety and Efficiency in Port Calls
The port and shipping sector faces the challenge of optimizing port calls while taking environmental aspects, safety and efficiency into account. One aspect of meeting these requirements is the analysis and development of performance indicators for improved, dynamic ship navigation. [more]
Application of Machine Learning in Offshore Wind Logistics: Potentials and Challenges
Offshore wind energy projects are particularly complex due to their geographic location and associated logistical challenges. This includes factors such as weather conditions, sea state, and supply chain coordination. Machine learning offers the potential to address this complexity by enabling data-driven decisions that can increase the efficiency and reliability of logistics processes. [more]