Lean Six Sigma is an important process improvement methodology. Identifying and eliminating waste is critical. Process mining reverse engineers workflow and identifies bottlenecks and sources of waste.

1. Using Process Mining Capabilitiesin Lean Six Sigma Projects George Varvaressosgvarvaressos@ozemail.com.au Business Process Mining © 2009

3. Processes are expensive

4. Processes are complexBusiness Process Mining © 2009

6. No structure to process components

7. Knowledge held by individualsBusiness Process Mining © 2009

9. Need Statistical Data

10. Need Semantic DataBusiness Process Mining © 2009

11. Process Discovery Based on Event Logs Business Process Mining © 2009

12. Process Discovery The actual process Business Process Mining © 2009

13. Process Discovery The planned process Business Process Mining © 2009

14. Statistical Data The process is in control Business Process Mining © 2009

15. Semantic Data How theorganisation views its human resources Business Process Mining © 2009

16. Semantic Data How users actually work together on activities Business Process Mining © 2009

17. Semantic Data Analyse performance by individual & team Business Process Mining © 2009

18. Statistical Data Analyse performance by individual & team Business Process Mining © 2009

19. Semantic Data Knowledge held by IT but not ‘known’ by the process Business Process Mining © 2009

20. Semantic Data Abstractions allow clarity & simplicity Business Process Mining © 2009

21. StatisticalData Analyse performance by task abstraction Business Process Mining © 2009

23. Overproduction

24. Transportation

25. Double ProcessingBusiness Process Mining © 2009

27. Rework

28. Inventory

29. IntellectBusiness Process Mining © 2009