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Modelling of processes with use of process mining techniques

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The main purpose of the paper is presentation of new opportunities for process modelling. In the literature review section, Petri nets as one of the formal modelling notation of processes is highlighted and introduction of relatively young research discipline – process mining – is presented. One of the process mining tasks is process model discovery from event logs gathered in informatics systems in enterprise. In the article practical example of process model discovery with ProM software is given with use of real event log from Volvo IT Belgium. In conclusions further opportunities of process mining techniques in process management are emphasized.
Rocznik
Tom
Strony
23--36
Opis fizyczny
Bibliogr. 36 poz.
Twórcy
autor
  • AGH University of Science and Technology Faculty of Mining and Geoengineering
autor
  • AGH University of Science and Technology Faculty of Mining and Geoengineering
autor
  • AGH University of Science and Technology Faculty of Mining and Geoengineering
Bibliografia
  • 1. van der Aalst W.M.P.: Decomposing Petri Nets for Process Mining: A Generic Approach. “Distributed and Parallel Databases”, Vol. 31(4), 2013, p. 471-507.
  • 2. van der Aalst W.M.P.: Process-Aware Information Systems: Lessons to Be Learned from Process Mining. In Transactions on Petri Nets and Other Models of Concurrency II, volume 5460 of Lecture Notes in Computer Science. Springer-Verlag, Berlin 2009, p. 1-26.
  • 3. van der Aalst W.M.P.: Process Mining: Data Science in Action. Springer-Verlag, Berlin 2016.
  • 4. van der Aalst W.M.P.: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer-Verlag, Berlin 2011.
  • 5. van der Aalst W.M.P.: Process Mining in the Large: A Tutorial, [in:] Zimanyi E. (ed.): Business Intelligence (eBISS 2013). “Lecture Notes in Business Information Processing”, Vol. 172. Springer-Verlag, Berlin 2014, p. 33-76.
  • 6. van der Aalst W.M.P.: Verification of Workflow Nets, [in:] Azéma P., Balbo G. (eds.): Application and Theory of Petri Nets. “Lecture Notes in Computer Science”, Vol. 1248. Springer-Verlag, Berlin 1997, p. 407-426.
  • 7. van der Aalst W.M.P., Bolt A., van Zelst S.J.: RapidProM: Mine Your Processes and Not Just Your Data, [in:] Hofmann M., Klinkenberg R. (eds.): RapidMiner: Data Mining Use Cases and Business Analytics Applications, Chapman and Hall/CRC Press, 2016.
  • 8. van der Aalst W.M.P., van Dongen B.F.: Discovering Petri Nets From Event Logs, [in:] Jensen K., van der Aalst W.M.P., Balbo G., Koutny M., Wolf K. (eds.): Transactions on Petri Nets and Other Models of Concurrency (ToPNoC VII). “Lecture Notes in Computer Science”, Vol. 7480. Springer-Verlag, Berlin 2013, p. 372-422.
  • 9. van der Aalst W.M.P., van Hee K.M., Ter Hofstede A.H.M., Sidorova N., Verbeek H.M.W., Voorhoeve M., Wynn M.T.: Soundness of Workflow Nets: Classification, Decidability and Analysis. “Formal Aspects of Computing”, Vol. 23(3), 2011, p. 333-363.
  • 10. van der Aalst W.M.P., Ter Hofstede A.H.M.: YAWL: Yet Another Workflow Language. “Information Systems”, Vol. 30(4), 2005, p. 245-275.
  • 11. van der Aalst W.M.P, Weijters A.J.M.M., Maruster L.: Workflow Mining: Discovering process models from event logs. “IEEE Transactions on Knowledge and Data Engineering”, Vol. 16, No. 9, 2003, p. 1128-1142.
  • 12. Aguilar-Savén R.S.: Business process modelling: Review and framework. “International Journal of Production Economics”, Vol. 90, Iss. 2, 2004, p. 129-149.
  • 13. Alotaibi Y.: Business process modelling challenges and solutions: a literature review. “Journal of Intelligent Manufacturing”, Vol. 27, Iss. 4, 2016, p. 701-723.
  • 14. Alves de Medeiros A.K.: Genetic Process Mining. PhD thesis. Eindhoven University of Technology, 2006.
  • 15. Best E., Schlachter U.: Analysis of Petri Nets and Transition Systems, [in:] Knight S., Lanese I., LluchLafuente A., Vieira H.T. (eds.), 8th Interaction and Concurrency Experience (ICE 2015), EPTCS 189, 2015, p. 53-67, doi:10.4204/EPTCS.189.6.
  • 16. Biernacki J., Biernacka A., Szpyrka M.: Action-based verification of RTCP-nets with CADP, [in:] Simos T.E., Kalogiratou Z., Monovasilis T. (eds.), ICCMSE 2015: International Conference of Computational Methods in Sciences and Engineering. AIP Publishing LLC, Athens 2015.
  • 17. Business Process Model and Notation™ (BPMN™) 2.0.2 Object Management Group, 2013, http://www.omg.org/spec/BPMN/index.htm, 21.03.2017.
  • 18. Carmona J., Cortadella J., Kishinevsky M.: A Region-Based Algorithm for Discovering Petri Nets from Event Logs. Business Process Management (BPM2008), 2008, p. 358-373.
  • 19. van Dongen B.F., Alves de Medeiros A.K., Wen L.: Process Mining: Overview and Outlook of Petri Net Discovery Algorithms, [in:] Jensen K., van der Aalst W. (eds.), ToPNoC II. “Lecture Notes in Computer Science”, Vol. 5460. Springer-Verlag, Berlin 2009, p. 225-242.
  • 20. Dumas M., La Rosa M., Mendling J., Reijers H.: Fundamentals of Business Process Management. Springer-Verlag, Berlin-Heidelberg 2013, doi: 10.1007/978-3-642-33143-5.
  • 21. Dumas M., Ter Hofstede A.H.M.: UML activity diagrams as a workflow specification language. UML 2001 – The Unified Modeling Language. Modeling Languages, Concepts, and Tools. Springer, Berlin-Heidelberg 2001, p.76-90.
  • 22. van Eck M.L., Lu X., Leemans S.J.J., van der Aalst W.M.P.: PM2: a Process Mining Project Methodology, [in] Zdravkovic J., Kirikova M., Johannesson P. (eds.), International Conference on Advanced Information Systems Engineering (Caise 2015), “Lecture Notes in Computer Science”, Vol. 9097. Springer-Verlag, Berlin 2015, p. 297-313.
  • 23. Eshuis R., Dehnert J.: Reactive Petri Nets for Workflow Modeling, [in:] van der Aalst W.M.P., Best E. (eds.): Applications and Theory of Petri Nets 2003. ICATPN 2003. “Lecture Notes in Computer Science”, Vol. 2679. Springer-Verlag, Berlin 2003, p. 296-315.
  • 24. http://bpm-conference.org/BpmConference/Conferences, 18.03.2017.
  • 25. Jensen K., Kristensen L.M.: Coloured Petri Nets. Springer-Verlag, Berlin-Heidelberg 2009.
  • 26. Laden A., de Cesare S.: A Comparative Analysis Of Business Process Modelling Techniques. UK Academy for Information Systems Conference Proceedings, Vol. 2, 2009.
  • 27. List B, Korherr B.: An evaluation of conceptual business process modelling languages. Proceedings of the 2006 ACM symposium on Applied computing (SAC '06). ACM, New York, USA 2006, p. 1532-1539.
  • 28. Murata T.: Petri nets: Properties, Analysis and Applications. “Proc. of the IEEE”, Vol. 77(4), 1989, p. 541-580.
  • 29. Pietroń R.: Process management. Wrocław University of Technology, PRINTPAP, 2011.
  • 30. Process mining: A database of applications. HSPI SpA – Management Consulting. Bologna, Italy, http://www.win.tue.nl/ieeetfpm/lib/exe/fetch.php?media=casestudies:hspi _process_mining_database_20161207.pdf, 20.03.2017.
  • 31. Scheer A.-W., Thomas O., Adam O.: Process Modeling using Event-Driven Process Chains, [in:] Dumas M., van der Aalst W.M.P., Ter Hofstede A.H.M. (eds): Process-Aware Information Systems: Bridging People and Software through Process Technology. John Wiley & Sons, Inc., Hoboken, NJ, USA 2005, doi: 10.1002/0471741442.
  • 32. Schunselaar D.M.M.: Configurable process trees: elicitation, analysis, and enactment. Technische Universiteit Eindhoven, Eindhoven 2016.
  • 33. Steeman W.: BPI Challenge 2013. Ghent University, Dataset, 2013, http://dx.doi.org/ 10.4121/uuid:a7ce5c55-03a7-4583-b855-98b86e1a2b07, 18.03.2017.
  • 34. The Process Mining Manifesto by the IEEE Task Force on Process Mining, [in:] Daniel F., Barkaoui K., Dustdar S. (eds.): BPM 2011 Workshops, Part I, LNBIP 99. Springer-Verlag, Berlin 2012, p. 169-194.
  • 35. Turner C.J., Tiwari A., Olaiya R., Xu Y.: Process mining: from theory to practice. “Business Process Management Journal”, Vol. 18(3), 2012, p. 493-512.
  • 36. Weijters A., Ribeiro J.T.S.: Flexible heuristics miner (FHM). IEEE Symposium on Computational Intelligence and Data Mining (CIDM), Paris 2011, p. 310-317.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3195e045-caca-4b81-a94c-67d011549b4f
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