Architecture of Information Systems (AIS)

Main research interest

Investigation of methods, techniques and tools for the design and analysis of process-aware information systems (PAIS), i.e. systems that support business processes (workflows) inside and between organizations. We are interested in:

  • Information systems
  • Process modelling
  • Process mining (process discovery, conformance, extension)

We also actively maintain and develop several (open-source) software packages:

  • ProM (process mining and process analysis)
  • YAWL (workflow management
  • Declare (workflow management)
  • CPN Tools (model-based analysis, simulation)

Success stories

The group closely collaborates with various software vendors, consultancy firms and end-user organizations. An example of this was the CoSeLoG project in which 10 municipalities and 2 software vendors participated. Applying process mining on selected processes revealed certain key employees for which no back-up was available.

The group also organizes the yearly business process intelligence challenge where a real-life data set is published and analyzed by contestants. One of the datasets described loan applications, where it was found that for loans totaling to € 38.000 no approval was registered, while the loan was granted.

The work of the group on workflow patterns also influenced industry standards such as BPMN.

Furthermore, two spin-offs in the area of process mining (Future Process Intelligence and Fluxicon) demonstrate the practical relevance of the groups’ research.

Project examples

  • DeLiBiDa NWO
    New process mining techniques that are able to handle huge event logs in variable and heterogeneous contexts.
  • Philips Flagship Philips & TU/e
    Data science research in product-centric consumer data analytics, predictive analytics for healthcare workflows, and radiology workflow optimization and orchestration.
  • Process mining in logistics Vanderlande  
    Analyzing event data to improve the performance of package handling systems and warehouse automation systems, both online and offline.