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)
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.
- 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.