lean & process mining
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George Varvaressosgvarvaressos@ozemail.com.au
Business Process Mining © 2009
Using Process Mining Capabilitiesin Lean Six Sigma Projects
Process Performance Issues
•Processes don’t deliver on time
•Processes are expensive
•Processes are complex
Business Process Mining © 2009
Processes not well understood
•No adequate documentation
•No structure to process components
•Knowledge held by individuals
Business Process Mining © 2009
Lean Six Sigma Project?Before you start – look at Process Mining capabilities
•Need Process Discovery
•Need Statistical Data
•Need Semantic Data
Business Process Mining © 2009
Process Discovery
Based on Event Logs
Business Process Mining © 2009
Process_ID EventName EventType Timestamp Originator Type Server Outcome
33116 VRU start 1/01/1999 0:00:31 No_Server PS No_Server Hang
33116 VRU complete 1/01/1999 0:00:36 No_Server PS No_Server Hang
33117 VRU start 1/01/1999 0:34:12 No_Server PS No_Server Hang
33117 VRU complete 1/01/1999 0:34:23 No_Server PS No_Server Hang
33118 VRU start 1/01/1999 6:55:20 Michael PS Michael Agent
33118 VRU complete 1/01/1999 6:55:26 Michael PS Michael Agent
33118 Regular_Service start 1/01/1999 6:55:44 Michael PS Michael Agent
33118 Regular_Service complete 1/01/1999 6:56:37 Michael PS Michael Agent
33119 VRU start 1/01/1999 7:41:16 Jack PS Jack Agent
33119 VRU complete 1/01/1999 7:41:26 Jack PS Jack Agent
33119 Regular_Service start 1/01/1999 7:41:27 Jack PS Jack Agent
33119 Regular_Service complete 1/01/1999 7:44:53 Jack PS Jack Agent
Process Discovery
Business Process Mining © 2009
The actual process
Process Discovery
Business Process Mining © 2009
The planned process
Statistical Data
Business Process Mining © 2009
The process is in control
Semantic Data
Business Process Mining © 2009
How the organisation views its human resources
Semantic Data
Business Process Mining © 2009
How users actually work together on activities
Semantic Data
Business Process Mining © 2009
Analyse performance by individual & team
Statistical
Data
Business Process Mining © 2009
Analyse performance by individual & team
Semantic Data
Business Process Mining © 2009
Knowledge held by IT but not ‘known’ by the process
Semantic Data
Business Process Mining © 2009
Abstractionsallow clarity& simplicity
StatisticalData
Business Process Mining © 2009
Analyse performance by task abstraction
Look for Sources of “Waste”
•Waiting
•Overproduction
•Transportation
•Double Processing
Business Process Mining © 2009
Performance Analysis reveals bottlenecks and wait times (individual & global)
Compare actual completeversus planned process and look for duplicate paths
Look at process flow andlocation of work & resources
Look at process flow and social network analysis
Look for Sources of “Waste”
Business Process Mining © 2009
•Motion
•Rework
•Inventory
•Intellect
Review “Role Hierarchy” to determine if resources are conveniently located to each other
Use Linear Temporal Logic (LTL) to determine the amount of rework
Use arrival rates and cycle times to minimise work-in-progress
Use social network analysis to determine domain experts
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