tue 2012

Faculty of Economics and Business Administration Department of Management Information and Operations Management

FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION

Jan Claes for TUe 201210 April 2023

Business Process Modelling in Support of Supply Chain Applications

Ghent Universityhttp://processmining.ugent.be




Part 1About me


Jan Claes for TUe 20123 / 17

About me

1. Who Am I 2. My PhD

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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



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?



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

PART 2. Collaborative Modelling?• Understand the process of process modelling• Understand communication between modellers

NEW




Part 2About merging event logs for process

mining



Merging event logs for process mining

1. Process Mining

2. Merging Event Logs

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3. Progress & Future Work



1. Process Mining

Processes are supported by IT systemsIT systems record actual process dataProcess data can be used to automatically

Discover process model Check conformance with existing process info Extend existing process model

Attention Only As-Is Only (correctly) recorded information

Process Mining



1. Process Mining



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 actionM

1. Process Mining steps

A

MM

M

MA

A

MA

Manual task Analysts needed in most cases

Automated task Less human involvement needed




Research

?Model

Multiple Event Logs

Supply Chain




ResearchMerging Event Logs

ModelMultiple Event Logs Merged Event Log

Source A

Source B

Supply Chain



201111 1 10 2010 1

Dec 2009Start PhDFind topic

Apr 20101st RQ: How to merge event logs to facilitate Process Mining for Supply Chains?

1 2

Jan 20122nd RQ: How to improve collaborative modelling?

3. Progress and Future Work

Mar 2011: INISET@CAiSE P1 paperIntegrating Computer Log Files for Process Mining: a Genetic Algorithm Inspired TechniqueINISET: Integration of IS Engineering Tools

INISET presentation

May 2011: BPI@BPM P1 paperMerging Computer Log Files for Process Mining: an Artificial Immune System TechniqueBPI: Business Process Intelligence, BPM: Business Process Management

BPI presentation

Sep 2010: BPM Doctoral Consortium



3. Progress and Future Work

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?

20122011

INISET@CAiSE P1 BPI@BPM P1 Information Sciences A1 BPM P1 or journal A1papers



Contact information

Jan [email protected]

http://processmining.ugent.beTwitter: @janclaesbelgiumRoom D8.a (until February 10)