Slides of my presentation at Technische Universiteit Eindhoven, 26 January 2012, Eindhoven, NL

1. FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION
Business Process Modelling in Support
of Supply Chain Applications
Ghent University
http://processmining.ugent.be
Faculty of Economics and Business Administration Jan Claes for TUe 2012
Department of Management Information and Operations Management 24 January, 2012

2. FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION
Part 1
About me
Faculty of Economics and Business Administration Jan Claes for TUe 2012
Department of Management Information and Operations Management 24 January, 2012

3. About me
1. Who Am I 2. My PhD
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Faculty of Economics and Business Administration Jan Claes for TUe 2012
Department of Management Information and Operations Management 3 / 17

4. Who Am I?
 Born at September 28, 1982
 2000-2004: Industrial Engineer Computer Science (master)
 2004-2005: Additional studies Business Economics (master)
 2006-2008: Analyst-Programmer for Attentia (HR): payroll apps
 2008-2009: Analyst-Programmer for SDP (ERP)
 2006-2009: Teaching informatics in adult education
 Since Dec 2009: Teaching Assistant: 50% teaching, 50% PhD, 6 y
 vs. PhD student: max 10% teaching, min 90% PhD, 4 years
 1ba Excel (±700 students) Economics, Business Economics, Business Engineering
 2ba Java (±300 students) Business Engineering
 3ba Java & MySQL (±150 students) Business Engineering
Faculty of Economics and Business Administration Jan Claes for TUe 2012
Department of Management Information and Operations Management 4 / 17

5. My PhD
Business Process Modelling in Support of
Supply Chain Applications
 Promotor: Prof. Dr. Geert Poels
• Business Informatics (modelling, REA ontology)
 Copromotor: Prof. Dr. Ir. Birger Raa
• Supply Chain Management (routing)
How to make business process models
in a supply chain context?
Faculty of Economics and Business Administration Jan Claes for TUe 2012
Department of Management Information and Operations Management 5 / 17

6. My PhD
How to make business process models
in a supply chain context?
 PART 1. Use Process Mining? Merge event logs
• Genetic Algorithm (GA) based technique
• Artificial Immune System (AIS) based technique
• Merging Rules based technique
NEW
 PART 2. Collaborative Modelling?
• Understand the process of process modelling
• Understand communication between modellers
Faculty of Economics and Business Administration Jan Claes for TUe 2012
Department of Management Information and Operations Management 6 / 17

7. FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION
Part 2
About merging event logs for process mining
Faculty of Economics and Business Administration Jan Claes for TUe 2012
Department of Management Information and Operations Management 24 January, 2012

8. Merging event logs for process mining
1. Process 2. Merging 3. Progress &
Mining Event Logs Future Work
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Faculty of Economics and Business Administration Jan Claes for TUe 2012
Department of Management Information and Operations Management 8 / 17

9. 1. Process Mining
Processes are supported by IT systems
IT systems record actual process data
Process data can be used to automatically
 Discover process model
 Check conformance with existing process info
 Extend existing process model
Attention Process Mining
 Only As-Is
 Only (correctly) recorded information
Faculty of Economics and Business Administration Jan Claes for TUe 2012
Department of Management Information and Operations Management 9 / 17

10. 1. Process Mining
Faculty of Economics and Business Administration Jan Claes for TUe 2012
Department of Management Information and Operations Management 10 / 17

11. 1. Process Mining steps
 Preparation
 Collect data: find event information
 Merge data: from different sources
 Structure data: group per instance
 Convert data: to tool specific format
 Process mining
 Make decisions, take action
Manual task Analysts needed in most cases
Automated task Less human involvement needed
Faculty of Economics and Business Administration Jan Claes for TUe 2012
Department of Management Information and Operations Management 11 / 17

12. 2. Merging Event Logs
Supply Chain
?
Research Model
Multiple Event Logs
Faculty of Economics and Business Administration Jan Claes for TUe 2012
Department of Management Information and Operations Management 12 / 17

13. 2. Merging Event Logs
Supply Chain
Source A
Source B
Model
Multiple Event Logs Merged Event Log
Research
Merging Event Logs
Faculty of Economics and Business Administration Jan Claes for TUe 2012
Department of Management Information and Operations Management 13 / 17

14. 2. Merging Event Logs
Faculty of Economics and Business Administration Jan Claes for TUe 2012
Department of Management Information and Operations Management 14 / 17

15. 3. Progress and Future Work
Dec 2009 Apr 2010 Jan 2012
Start PhD 1st RQ: How to merge event logs to 2nd RQ: How to improve
Find topic facilitate Process Mining for Supply Chains? collaborative modelling?
0 1 2010 1 1 20111
1 1 2
Sep 2010: BPM Doctoral Consortium
Mar 2011: INISET@CAiSE P1 paper
Integrating Computer Log Files for Process Mining: a Genetic Algorithm Inspired Technique
INISET: Integration of IS Engineering Tools
INISET presentation
May 2011: BPI@BPM P1 paper
Merging Computer Log Files for Process Mining: an Artificial Immune System Technique
BPI: Business Process Intelligence, BPM: Business Process Management
BPI presentation
Faculty of Economics and Business Administration Jan Claes for TUe 2012
Department of Management Information and Operations Management 15 / 17

16. 3. Progress and Future Work
papers INISET@CAiSE P1 BPI@BPM P1 Information Sciences A1 BPM P1 or journal A1
2011 2012
 05/09/2011 – 31/12/2011
 Rules Based Merging Algorithm
 01/01/2012 – 30/06/2012
 Paper submission for Information Sciences journal
 15/01/2012 – 12/02/2012
 Visiting PhD student at Eindhoven University of Technology
 Process mining of modelling experiment logs with Hajo Reijers
 13/02/2012 – 30/06/2012
 Paper submission for BPM 2012 or journal?
Faculty of Economics and Business Administration Jan Claes for TUe 2012
Department of Management Information and Operations Management 16 / 17

17. Contact information
Jan Claes
jan.claes@ugent.be
http://processmining.ugent.be
Twitter: @janclaesbelgium
Room D8.a (until February 10)
Faculty of Economics and Business Administration Jan Claes for TUe 2012
Department of Management Information and Operations Management 17 / 17