Below, you find an overview of projects carried out in the group in which I am directly involved. For an overview of all projects of all group members, click here.

Philips Flagship

The Data Science Centre Eindhoven (DSC/e) is TU/e's response to the growing volume and importance of data and the need for data & process scientists. The DSC/e has recently started a long-term strategic cooperation with Philips Research Eindhoven on three topics: data science, health and lighting.

Staff involved

  • Boudewijn van Dongen (Associate professor)
  • Natalia Sidorova (Assistant professor)
  • Alok Dixit (PhD Candidate)
  • Bart Hompes (PhD Candidate)
  • Niek Tax (PhD Candidate)

Process Mining in Logistics at Vanderlande

Logistics processes are notoriously difficult to design, analyze, and to improve. Where classical processes are scoped around the processing of information associated to a specific unique case, logistics deals with physical objects that are grouped and processed together with other physical objects in one process at one or more physical locations, then distributed and later on re-aggregated with other physical objects in another process at other physical locations. In essence, logistics deals with numerous processes, cases, and objects that interact with each other in a multi-dimensional fashion. On one hand, this subjects logistics processes to many external influences which can have a negative impact on process outcomes and process performance. On the other hand, when analyzing the performance of flows across networks of logistics, the multi-dimensional nature is especially prevalent and existing data-driven process analysis techniques such as process mining which assume a single viewpoint cannot be applied.

Staff involved

  • Wil van der Aalst (Full professor)
  • Boudewijn van Dongen (Associate professor)
  • Dirk Fahland ((Assistant professor)
  • Vadim Denisov (PhD Candidate)