Freight Tracking and Process Mining for a Digital Twin of Inland TerminalsBachelor Thesis

7 June 2024, by Sven Juhnke

The objective of this thesis is to develop a visual representation of the freight flows of containers and semi-trailers in an inland terminal, with the intention of improving the handling processes and optimizing the efficient use of terminal resources. This work is part of a larger project which is developing a drone-based system for automated data collection in multi-purpose terminals.

The movement and location data of the loading units in the terminal are mapped into a freight flow model through the application of process mining methods. The model is then represented visually on interactive dashboards and enriched with key metrics, including that a conformity check that analyzes and shows deviations from defined target processes. As there is currently no data from terminal operations available, event data is initially generated synthetically for the development of the dashboards. For future data collection solutions are also proposed.

It is expected that the interactive dashboards will provide insights into the freight flows that lead to sustainable optimizations in terminal operations and equipment usage.

Supervised by:
Prof. Dr. Janick Edinger, Lennart Bengtson