Multi-Machine Coordination for Logistics

In this course students will get familiar with automatic control techniques and their benefits and applications for real-time coordination of actions of large-scale transport systems. Theoretical concepts mostly related to model predictive control are discussed, as well as their application to real-world transport systems. Illustrative examples of large-scale systems include among others intermodal / synchromodal (i.e. road, waterborne, rail) transport networks. The operation of these networks relies on the interoperability of various machines such as cargo ships, trains, road tracks, automated guided vehicles, quay/yard cranes and many more.

Assessment will be based on a written group project report (50%) and on a written individual (closed-book) exam (50%). In principle, the written exam will take place on campus. Resit options are offered for both the project and the exam. Note that the grade of the exam and the grade of the project are only valid for the academic year 2025-2026.