Organisations continuously look for opportunities to improve or optimise their business processes.
Process mining aids organisations to derive insights from event data stored in event logs, using advanced techniques that:
- discover process models
- verify conformance with rules and regulations
- show the performance of processes.
As process improvement projects are involved and expensive, typically organisations select a few processes to optimise, using process identification.
Ironically, process identification is a manual task, where KPIs are chosen. Based on these KPIs, a process is selected for improvement.
In this project, we aim to make process identification more data driven, by developing process-mining-in the-large techniques, which target entire organisations rather than individual processes.
As part of this research project, you'll be involved in:
- performing a limited literature scan on process identification and process mining
- developing new process identification and organisation-wide process mining techniques
- engaging with industry partners to identify needs and to apply and evaluate the developed techniques
- introducing a methodology for (semi-)automated process identification.
We aim to develop new techniques, methods and methodologies to:
- model resources and customers interacting with processes in organisations and discover such models automatically
- lead to automatic value chain discovery
- automatically identify process KPIs
- automatically identify the potential for process improvement in processes
- provide recommendations for the processes to select for improvement
- apply the new techniques with our industry partners.
Upon conclusion of the project, we expect to have:
- a limited overview of the most important related work in process identification and process mining
- implemented prototypes of the techniques
- publications detailing the techniques and their evaluation.
Skills and experience
To be considered for the project, we expect you to have:
- in-depth knowledge of Business Process Management (IFN515/IAB203/IAB320 or similar)
- familiarity with basic programming.
Familiarity with process mining (IFN650/IAB321) is recommended, but is not mandatory.
You may be able to apply for a research scholarship in our annual scholarship round.
Contact the supervisor for more information.