Since the MLS was founded in 2009, numerous projects in the field of maritime logistics have been carried out for various national funding agencies. An extract of our completed projects is shown below.
The Research Information System (FIS) is a scientifically based information portal on the topics of transport, mobility and urban development, available at www.forschungsinformationssystem.de. The MLS provides technical and editorial support for knowledge maps and their synthesis reports in the field of "Freight Transport and Logistics, Maritime Transport and Inland Navigation". Since the conclusion of FIS II, the contents have been further developed in the FIS III project.
The Research Information System (FIS) is a scientifically based information portal on the topics of transport, mobility and urban development, available at www.forschungsinformationssystem.de. The MLS provides technical and editorial support for knowledge maps and their synthesis reports in the field of "Globalised Freight Transport and Logistics". Since the conclusion of FIS III, the contents have been further developed in the FIS IV project.
The objective of this project is to collectively examine both the optimization potential and the strategic risks of using business analytics in maritime logistics from the perspective of various disciplines. Due to the interdisciplinary and innovative object of research, an I3-Lab offers an optimal structure for these questions. [more]
Within the project the Institute of Technical Logistics and the Institute of Maritime Logistics worked together on the development of a prototype for the simulation of multi-user training scenarios for the maritime sector based on a motion capture system. [more]
Layout planning and logistics simulation have so far been used separately for the development and planning of logistics nodes. Layout planning software is characterized by an intuitive and cooperative application, but only allows static considerations. Simulation software, on the other hand, has the advantage of allowing the analysis of dynamic processes, but is less intuitive to use.
The goal of ISI-Plan was to combine both tools and thus to use the strengths of the tools, to eliminate the weaknesses and to realize synergy effects (e.g. reduction of the modeling time for the simulation model). [more]
During the project, interested TUHH institutes are supported in creating digital interactive teaching materials with Jupyter notebooks and integrating them into their teaching activities. For each course, didactical questions are of importance as well as the technical realisation. The use of a JupyterHub is an ideal way to ensure that the teaching materials are used as quickly and as smoothly as possible during teaching. The institutes are accompanied and supported in the installation and adaptation of a JupyterHub. It is also part of the project to identify components required by all institutes, to develop them if necessary and to integrate them into the installation process. [more]
Peak loads in the truck handling of logistics nodes lead to strongly fluctuating waiting times for arriving vehicles and prevent optimal truck scheduling by transporters. However, measures to reduce waiting times at logistics nodes are largely beyond the reach of haulage companies. The two-year research project continued here and pursued the goal of developing a learning forecast model that takes into account daily influences on truck waiting times and combines them with the use of a pre-registration and incentive system. [more]
The project aims at developping and permanently establishing a qualification program called "Machine Learning in Theory und Practice" in order to teach the fundamentals of the field of machine learning to Master's students in logistics at TUHH. [more]
The aim of this research project is to develop an IT reference model especially tailored for small and medium-sized enterprises (SMEs) in the field of application of cargo handling terminals. This should support the terminals in independently carrying out a systematic further development of their IT and process landscape. [more]