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FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION




      Business Process Modeling in Support
          of Supply Chain Applications
                  Promotor: Prof. Dr. Geert Poels
                 Copromotor: Prof. Dr. Ir. Birger Raa


Faculty of Economics and Business Administration                                        Jan Claes | Confenis DC 2012
Department of Management Information and Operations Management                                   19 September, 2012
Topic

Business Process Modeling in Support of
 Supply Chain Applications
Inter-organizational modeling
                          Supplier


                                                                                 Send invoice
                                              Receive SO
                                                                  Pack goods
       Supplier
                          Logistics




       Logistics                                                 Deliver goods



      Customer
                          Customer




                                                                                  Pay invoice
                                               Send PO
                                                                 Receive goods

Faculty of Economics and Business Administration                                 Jan Claes | Confenis DC 2012
Department of Management Information and Operations Management                     2 / 17
Topic


           Supply Chain level                                           Model level
   top-down                  bottom-up                            top-down          bottom-up
orchestration                choreography             cooperative modeling          process mining
           Organization level                                          Operation level




Inter-organizational modeling
        Cooperative modeling (manual, top-down)
        Process mining (automatic, bottom-up)


Faculty of Economics and Business Administration                               Jan Claes | Confenis DC 2012
Department of Management Information and Operations Management                   3 / 17
Methodology

Qualitative positivist research method
        grounded theory
           (developing theory through collection and analysis of data)

RQ1: cooperative process modeling
        behavioral science research
           (developing and evaluating theories from observations of reality)

RQ2: process mining
        design science research
           (developing and evaluating artifacts to solve a practical problem)


Faculty of Economics and Business Administration                 Jan Claes | Confenis DC 2012
Department of Management Information and Operations Management     4 / 17
FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION




                      Cooperative Process Modeling




Faculty of Economics and Business Administration                                        Jan Claes | Confenis DC 2012
Department of Management Information and Operations Management                                   19 September, 2012
Cooperative process modeling

Definition
        Working together on the manual construction of an inter-
         organizational process model
        Where participants have knowledge on different parts of
         the process
Research questions (improve knowledge to
 improve training/tools/…)
        RQ1a: what are the characteristics of the process of
         cooperative process modeling?
        RQ1b: (how) can we provide guidelines for cooperative
         process modeling?
Faculty of Economics and Business Administration                 Jan Claes | Confenis DC 2012
Department of Management Information and Operations Management     6 / 17
Cooperative process modeling



                         Properties of
                         textual description


                                      Properties of
                                        modelers

                                                              Properties of
                                                                                      RESEARCH
                                                             modeling process
                                                                                  Properties of
                                                                                resulting model



Faculty of Economics and Business Administration                                 Jan Claes | Confenis DC 2012
Department of Management Information and Operations Management                     7 / 17
Cooperative process modeling

Preliminary work
        Visualization (TAProViz@BPM 2012)
           “Visualizing the Process of Process Modeling with PPMCharts“


        Method (BPM 2012 + invitation special issue Information
         Systems journal)
           “Tying Process Model Quality to the Modeling Process: The Impact of
           Structuring, Movement, and Speed“




Faculty of Economics and Business Administration                     Jan Claes | Confenis DC 2012
Department of Management Information and Operations Management         8 / 17
Cooperative process modeling




Faculty of Economics and Business Administration                 Jan Claes | Confenis DC 2012
Department of Management Information and Operations Management     9 / 17
Cooperative process modeling

Future work
        Tying process of process modeling to
         the resulting process model (explorative > 2012)
        Tying structured modeling to
         understandability (confirmative > 2012)
        Discovered patterns and styles of cooperative
         process modeling (explorative > 2013)
        Method for cooperative process modeling
         (confirmative > 2013)

Faculty of Economics and Business Administration                 Jan Claes | Confenis DC 2012
Department of Management Information and Operations Management    10 / 17
FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION




                                       Process Mining




Faculty of Economics and Business Administration                                        Jan Claes | Confenis DC 2012
Department of Management Information and Operations Management                                   19 September, 2012
Process mining

Definition
        Automatic as-is process model construction or
         analysis
        From historical process data recorded in
         information systems
Research questions (enable process mining
 with data distributed in multiple event logs)
        RQ2: how to merge event logs for process mining?


Faculty of Economics and Business Administration                 Jan Claes | Confenis DC 2012
Department of Management Information and Operations Management    12 / 17
Process mining


         CSV                           Event
         Data                           Log




         CSV                           Event
         Data                           Log




         CSV                           Event
         Data                           Log

                                                                       Process Model




Faculty of Economics and Business Administration                 Jan Claes | Confenis DC 2012
Department of Management Information and Operations Management    13 / 17
Process mining

Preliminary work
        Problem definition: survey (BPI@BPM 2012)
        Problem definition: manifesto (BPI@BPM 2012)
        Genetic algorithm for event log merging
         (INISET@CAiSE 2011)
        Artificual Immune System for event log merging
         (BPI@BPM 2011)
        Rule based method for event log merging
         (Information Sciences journal > 2012)
Faculty of Economics and Business Administration                 Jan Claes | Confenis DC 2012
Department of Management Information and Operations Management    14 / 17
FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION




                                            Conclusion




Faculty of Economics and Business Administration                                        Jan Claes | Confenis DC 2012
Department of Management Information and Operations Management                                   19 September, 2012
Conclusion

Plans for current and future work
        Invited special issue Information Systems (2012)
        Merging event logs (2012)
        Process of process modeling (x2) (2012-2013)
        Experiments (explorative & confirmative) (2012)
        Process of cooperative process modelig (x2) (2013)
        Combine or compare process mining and
         cooperative process modeling: method (?)
        Case studies (2012-?)
Faculty of Economics and Business Administration                 Jan Claes | Confenis DC 2012
Department of Management Information and Operations Management    16 / 17
Contact information




                                             Jan Claes
                                             jan.claes@ugent.be

                                             http://www.janclaes.info
                                             Twitter: @janclaesbelgium




Faculty of Economics and Business Administration                         Jan Claes | Confenis DC 2012
Department of Management Information and Operations Management            17 / 17

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Confenis2012DC

  • 1. FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION Business Process Modeling in Support of Supply Chain Applications Promotor: Prof. Dr. Geert Poels Copromotor: Prof. Dr. Ir. Birger Raa Faculty of Economics and Business Administration Jan Claes | Confenis DC 2012 Department of Management Information and Operations Management 19 September, 2012
  • 2. Topic Business Process Modeling in Support of Supply Chain Applications Inter-organizational modeling Supplier Send invoice Receive SO Pack goods Supplier Logistics Logistics Deliver goods Customer Customer Pay invoice Send PO Receive goods Faculty of Economics and Business Administration Jan Claes | Confenis DC 2012 Department of Management Information and Operations Management 2 / 17
  • 3. Topic Supply Chain level Model level top-down bottom-up top-down bottom-up orchestration choreography cooperative modeling process mining Organization level Operation level Inter-organizational modeling  Cooperative modeling (manual, top-down)  Process mining (automatic, bottom-up) Faculty of Economics and Business Administration Jan Claes | Confenis DC 2012 Department of Management Information and Operations Management 3 / 17
  • 4. Methodology Qualitative positivist research method  grounded theory (developing theory through collection and analysis of data) RQ1: cooperative process modeling  behavioral science research (developing and evaluating theories from observations of reality) RQ2: process mining  design science research (developing and evaluating artifacts to solve a practical problem) Faculty of Economics and Business Administration Jan Claes | Confenis DC 2012 Department of Management Information and Operations Management 4 / 17
  • 5. FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION Cooperative Process Modeling Faculty of Economics and Business Administration Jan Claes | Confenis DC 2012 Department of Management Information and Operations Management 19 September, 2012
  • 6. Cooperative process modeling Definition  Working together on the manual construction of an inter- organizational process model  Where participants have knowledge on different parts of the process Research questions (improve knowledge to improve training/tools/…)  RQ1a: what are the characteristics of the process of cooperative process modeling?  RQ1b: (how) can we provide guidelines for cooperative process modeling? Faculty of Economics and Business Administration Jan Claes | Confenis DC 2012 Department of Management Information and Operations Management 6 / 17
  • 7. Cooperative process modeling Properties of textual description Properties of modelers Properties of RESEARCH modeling process Properties of resulting model Faculty of Economics and Business Administration Jan Claes | Confenis DC 2012 Department of Management Information and Operations Management 7 / 17
  • 8. Cooperative process modeling Preliminary work  Visualization (TAProViz@BPM 2012) “Visualizing the Process of Process Modeling with PPMCharts“  Method (BPM 2012 + invitation special issue Information Systems journal) “Tying Process Model Quality to the Modeling Process: The Impact of Structuring, Movement, and Speed“ Faculty of Economics and Business Administration Jan Claes | Confenis DC 2012 Department of Management Information and Operations Management 8 / 17
  • 9. Cooperative process modeling Faculty of Economics and Business Administration Jan Claes | Confenis DC 2012 Department of Management Information and Operations Management 9 / 17
  • 10. Cooperative process modeling Future work  Tying process of process modeling to the resulting process model (explorative > 2012)  Tying structured modeling to understandability (confirmative > 2012)  Discovered patterns and styles of cooperative process modeling (explorative > 2013)  Method for cooperative process modeling (confirmative > 2013) Faculty of Economics and Business Administration Jan Claes | Confenis DC 2012 Department of Management Information and Operations Management 10 / 17
  • 11. FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION Process Mining Faculty of Economics and Business Administration Jan Claes | Confenis DC 2012 Department of Management Information and Operations Management 19 September, 2012
  • 12. Process mining Definition  Automatic as-is process model construction or analysis  From historical process data recorded in information systems Research questions (enable process mining with data distributed in multiple event logs)  RQ2: how to merge event logs for process mining? Faculty of Economics and Business Administration Jan Claes | Confenis DC 2012 Department of Management Information and Operations Management 12 / 17
  • 13. Process mining CSV Event Data Log CSV Event Data Log CSV Event Data Log Process Model Faculty of Economics and Business Administration Jan Claes | Confenis DC 2012 Department of Management Information and Operations Management 13 / 17
  • 14. Process mining Preliminary work  Problem definition: survey (BPI@BPM 2012)  Problem definition: manifesto (BPI@BPM 2012)  Genetic algorithm for event log merging (INISET@CAiSE 2011)  Artificual Immune System for event log merging (BPI@BPM 2011)  Rule based method for event log merging (Information Sciences journal > 2012) Faculty of Economics and Business Administration Jan Claes | Confenis DC 2012 Department of Management Information and Operations Management 14 / 17
  • 15. FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION Conclusion Faculty of Economics and Business Administration Jan Claes | Confenis DC 2012 Department of Management Information and Operations Management 19 September, 2012
  • 16. Conclusion Plans for current and future work  Invited special issue Information Systems (2012)  Merging event logs (2012)  Process of process modeling (x2) (2012-2013)  Experiments (explorative & confirmative) (2012)  Process of cooperative process modelig (x2) (2013)  Combine or compare process mining and cooperative process modeling: method (?)  Case studies (2012-?) Faculty of Economics and Business Administration Jan Claes | Confenis DC 2012 Department of Management Information and Operations Management 16 / 17
  • 17. Contact information Jan Claes jan.claes@ugent.be http://www.janclaes.info Twitter: @janclaesbelgium Faculty of Economics and Business Administration Jan Claes | Confenis DC 2012 Department of Management Information and Operations Management 17 / 17