Process Mining in Manufacturing

In last week’s Process Mining Café, Stefanie Rinderle-Ma from the Technical University of Munich showed us how their open source process engine steers production processes. A nice side-effect of their system is that it collects data that can be used for process mining again!

We realized that many standard process mining terms could be misleading in manufacturing. We also talked about the power of domain knowledge, how process mining can leverage sensor data, and realistic expectations for automation.

If you missed the live broadcast or want to re-watch the café, you can now watch the recording here.

Thanks again to Steffi and to all of you for joining us!

Here are the links that we mentioned during the session:

Our running list of potentially ambiguous words ended up at:

  • Spaghetti diagrams (it’s the name of a different technique)
  • Process (be careful, people might talk about chemical or other non-discrete processes!)
  • Instance vs. batch
  • Process automation (better use orchestration)
  • Robotic process automation (which kinds of robots?)

Contact us via if you can think of other examples for misleading terminology, or if you have questions or suggestions for the café, anytime.

Anne Rozinat

Anne Rozinat

Market, customers, and everything else

Anne knows how to mine a process like no other. She has conducted a large number of process mining projects with companies such as Philips Healthcare, Océ, ASML, Philips Consumer Lifestyle, and many others.