I³-Lab Business Analytics – Optimisation Potentials and Strategic Risks for Maritime Logistics Systems

Within the framework of the project, institutes from different fields work together on questions of business analytics in maritime logistics. The project is thus at the interface of computer science, mathematics, management and logistics and is therefore highly interdisciplinary.

Project duration 01.08.2018 – 15.10.2022
Project funding funded by Administration for Science, Research and Equality Hamburg
Our status Project partner
Contact person Marvin Kastner
Project homepage https://www2.tuhh.de/i3-ba-ml
Project partners
  • TUHH Institute of Operations Research and Information Systems
    Prof. Dr. Kathrin Fischer
  • TUHH Institute of Maritime Logistics
    Prof. Dr.-Ing. Carlos Jahn
  • TUHH Institute of Mathematics
    Prof. Dr. Anusch Taraz
  • TUHH Institute of Strategical und International Management
    Prof. Dr. Thomas Wrona

Description

The rapidly increasing amount of available and usable data and the recent increased performance of existing computers enables data analyses and calculations on a scale that was unthinkable just a few years ago. While at present, the immense performance of algorithms is often uncritically accepted, but possible risks are often completely ignored. This opens up new challenges for university teaching and research. Along with digitalization, companies also want and need to adapt corresponding processes and they need new research results in order to implement methods of business analytics in the form of innovative solutions.

The project is mainly dedicated to the application of business analytics in the field of maritime logistic systems, as there is still great potential for optimization. On the other hand, this industry now has huge amounts of data, such as ship movements and weather data. The evaluation of which can enable the development of improved strategies in personnel and fleet deployment or revenue management, and new solutions, for example in autonomously controlled ship traffic.


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