Data-driven logistics.

Logistics is of significant importance in Flanders. This diverse sector involves different types of activities such as warehousing, transport, terminal operations and loading. Each of these activities involves various complex operational decisions which are often interrelated and subject to rapidly changing market conditions and environments. Therefore, good decision support software is essential for companies to remain competitive.

Recent developments enabled logistics companies to digitally monitor and store data regarding their operations. Additionally, computational advances enabled software developers to implement advanced algorithms for optimising operational schedules.

This project seeks to develop innovative methodologies for data-driven optimisation in logistics. Such an approach would enable the use available data to learn and find patterns, thereby continuously and automatically adapting and improving logistics optimisation processes.  Furthermore, it offers a stepping stone to solve complex interrelated problems in an integrated manner.