The document presents three case studies on implementing process mining in the architecture, engineering, and construction sectors, specifically focusing on design and facility management processes. It highlights findings such as the inefficiency of IT systems in facilitating effective processes and anomalies like unusually quick problem resolutions in facility management. The conclusion emphasizes the value of process mining in identifying bottlenecks, improving project insights, and leveraging past lessons for future improvements.

1. INTRODUCING PROCESS MINING
Three experimental case studies
Stijn van Schaijk, Léon van Berlo

2. SLIDESHARE.NET/BERLOTTI
SLIDESHARE.NET/STIJNVANSCHAIJK

3. https://nl.linkedin.com/in/stijnvanschaijk

8. THREE CASES
Introducing process mining for AECFM

9. PLAN
Analysis of the design process of a road project
System engineering managing desing requirements
Event log export from Relatics
± 140.000 events
Introducing process mining for AECFM

12. MOST EXTREME RESULT:
1 SPECIFICATION HAD 1904 PROCESS STEPS

13. CONCLUSION CASE STUDY
“Process mining analytics made us realize that we use our IT systems to store
information, but those systems don’t automatically facilitate an efficient
process.”
-Process engineer, contractor
More info? Read http://www.slideshare.net/StijnvanSchaijk/case-study-
construction-design-process-mining

14. CONSTRUCTION
Continuous improvement cycle during construction projects
Plan, (Autonomous-) Capture, Analyse and Reuse process data from
construction sites
Finding and storing bottlenecks and planning deviation
ALL DATA AVAILABLE on
https://github.com/openBIMstandards/DataSetSchependomlaan

15. 1. SCAN CONSTRUCTION SITE WITH DRONES (DREAMFOCUS DRONED
HTTPS://WWW.YOUTUBE.COM/WATCH?V=QBBF31BY0XW )

16. RESULT: AS-BUILT POINT CLOUD

17. COMPARE AS-PLANNED AND AS-BUILT

18. CONCRETE FLOORS

19. AGAIN: https://github.com/openBIMstandards/DataSetSchependomlaan

20. PLANNING CONSULT

21. RISK VISUALIZATION

22. OPERATE
Analysing Facility Management software Planon
Large hospital in the Netherlands
Paper: http://www.slideshare.net/StijnvanSchaijk/case-study-process-mining-
with-facility-management-data
Introducing process mining for AECFM

23. FOR EXAMPLE:
It was found that in 2414 cases the problem was solved
within a median duration of 3 minutes. Which is, accordingly
to the facility managers, practically impossible.
More specific this means that within 3 minutes an error is
assigned to a person and he almost immediately solved it,
which is only possible if he was on the exact location of the
error at the moment of assigning.
This notification led to a deeper research in this process. In
seemed that for this 3 minute job an average price of 300
euro was charged by the subcontractors (in total €723.600,-).
Introducing process mining for AECFM

25. CONCLUSION
Process mining gives insight in processes
Learn from previous projects.
Finding bottlenecks and planning deviation.
Introducing process mining for AECFM

28. STIJN’S WORK:
Tools
Eventlog generator: https://www.youtube.com/watch?v=LOJsHvGq-KE
Planning consult: https://www.youtube.com/watch?v=nJTh_0Xmra0
Thesis
http://www.slideshare.net/StijnvanSchaijk/building-information-model-bim-
based-process-mining
Introducing process mining for AECFM

29. THANK YOU FOR YOUR ATTENTION