An Application of Process Mining to Invoice Verification Process in SAP

  • Jakub Štolfa
  • Martin Kopka
  • Svatopluk Štolfa
  • Ondřej Koběrský
  • Václav Snášel
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 237)


There are many processes in companies that are enacted many times every day. The key issue of the company management is to control the company cash flow and try to optimize the cost of everyday operations. There are many ways how to support the process enactment, but at the end, when there are some data from the process usage, the analysis of the efficiency is needed. One of the ways how to analyze the process and effectively analyze the process data is to use process mining methods. In this paper, we present the usage of process mining methods to real invoicing process and show the possible impact of the results to the process or organizational improvement.


process mining case study SAP process improvement 


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  1. 1.
    Dumas, M., van der Aalst, W.M.P., ter Hofstede, A.H.M.: Process Aware Information Systems: Bridg-ing People and Software Through Process Technology. Wiley-Interscience (2005)Google Scholar
  2. 2.
    Grigori, D., Casati, F., Castellanos, M., Dayal, U., Sayal, M., Shan, M.-C.: Business process intelligence. Computers in Industry 3, 321–343 (2004)CrossRefGoogle Scholar
  3. 3.
    Weske, M., van der Aalst, W.M.P., Verbeek, H.M.W.E.: Advances in business process management. Data & Knowledge Engineering 50(1), 1–8 (2004)CrossRefGoogle Scholar
  4. 4.
    van der Aalst, W.M.P., ter Hofstede, A.H.M., Weske, M.: Business process management: A survey. In: van der Aalst, W.M.P., ter Hofstede, A.H.M., Weske, M. (eds.) BPM 2003. LNCS, vol. 2678, pp. 1–12. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  5. 5.
    Alves de Medeiros, A.K., Weijters, A.J.M.M., van der Aalst, W.M.P.: Genetic process mining: an experimental evaluation. Data Mining and Knowledge Discovery 14(2), 245–304 (2007)MathSciNetCrossRefGoogle Scholar
  6. 6.
    Bozkaya, M., Gabriels, J., van der Werf, J.M.E.M.: Process diagnostics: a method based on process mining. In: Kusiak, A., Lee, S. (eds.) eKNOW, pp. 22–27. IEEE Computer Society (2009)Google Scholar
  7. 7.
    Goedertier, S., De Weerdt, J., Martens, D., Vanthienen, J., Baesens, B.: Process discovery in event logs: an application in the telecom industry. Applied Soft Computing 11(2), 1697–1710 (2011)CrossRefGoogle Scholar
  8. 8.
    Jans, M., van der Werf, J.M., Lybaert, N., Vanhoof, K.: A business process mining application for internal transaction fraud mitigation. Expert Systems with Applications 38(10), 13351–13359 (2011)CrossRefGoogle Scholar
  9. 9.
    Mans, R.S., Schonenberg, H., Song, M., van der Aalst, W.M.P., Bakker, P.J.M.: Application of process mining in healthcare—a case study in a Dutch hospital. In: Fred, A.L.N., Filipe, J., Gamboa, H. (eds.) BIOSTEC 2008. CCIS, vol. 25, pp. 425–438. Springer, Heidelberg (2008)Google Scholar
  10. 10.
    Rebuge, Á., Ferreira, D.R.: Business process analysis in healthcare environments: a methodology based on process mining. Information Systems 37(2), 99–116 (2012)CrossRefGoogle Scholar
  11. 11.
    Rozinat, A., de Jong, I.S.M., Günther, C.W., van der Aalst, W.M.P.: Process mining applied to the test process of wafer scanners in ASML. IEEE Transactions on Systems, Man, and Cybernetics, Part C 39(4), 474–479 (2009)CrossRefGoogle Scholar
  12. 12.
    Rozinat, A., Mans, R.S., Song, M., van der Aalst, W.M.P.: Discovering simulation models. Information Systems 34(3), 305–327 (2009)CrossRefGoogle Scholar
  13. 13.
    Song, M., van der Aalst, W.M.P.: Towards comprehensive support for organizational mining. Decision Support Systems 46(1), 300–317 (2008)CrossRefGoogle Scholar
  14. 14.
    van der Aalst, W.M.P., Reijers, H.A., Weijters, A.J.M.M., van Dongen, B.F., Alves de Medeiros, A.K., Song, M., Verbeek, H.M.W.: Business process mining: an industrial application. Information Systems 32(5), 713–732 (2007)CrossRefGoogle Scholar
  15. 15.
    van der Aalst, W.M.P., Schonenberg, M.H., Song, M.: Time prediction based on process mining. Information Systems 36(2), 450–475 (2011)CrossRefGoogle Scholar
  16. 16.
    De Weerdt, J., Schupp, A., Vanderloock, A., Baesens, B.: Process Mining for the multi-faceted analysis of business processes—A case study in a financial services organization. Computers in Industry 64(1), 57–67 (2013) ISSN 0166-3615, 10.1016/j.compind.2012.09.010Google Scholar
  17. 17.
    Lee, D., Bae, H.: Analysis framework using process mining for block movement process in shipyards. ICIC Express Letters 7(6), 1913–1917 (2013)Google Scholar
  18. 18.
    Accorsi, R., Stocker, T.: On the exploitation of process mining for security audits: The conformance checking case. Paper presented at the Proceedings of the ACM Symposium on Applied Computing, pp. 1709–1716 (2012)Google Scholar
  19. 19.
    Li, M.: Process mining in knowledge maintenance a case study. Advances in Information Sciences and Service Sciences 4(9), 293–301 (2012)CrossRefGoogle Scholar
  20. 20.
    van Dongen, B.F., de Medeiros, A.K.A., Verbeek, H.M.W., Weijters, A.J.M.M.T., van der Aalst, W.M.P.: The proM framework: A new era in process mining tool support. In: Ciardo, G., Darondeau, P. (eds.) ICATPN 2005. LNCS, vol. 3536, pp. 444–454. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  21. 21.
    Van Der Aalst, W.M.P., Van Dongen, B.F., Günther, C.W., Mans, R.S., Alves De Medeiros, A.K., Rozinat, A., Song, M., Verbeek, H.M.W., Weijters, A.J.M.M.: Process mining with ProM. In: Belgian/Netherlands Artificial Intelligence Conference, p. 453 (2007)Google Scholar
  22. 22.
    Van Der Aalst, W., Adriansyah, A., Van Dongen, B.: Causal nets: A modeling language tailored towards process discovery (2011)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jakub Štolfa
    • 1
  • Martin Kopka
    • 1
  • Svatopluk Štolfa
    • 1
  • Ondřej Koběrský
    • 1
  • Václav Snášel
    • 1
  1. 1.Department of Computer ScienceVSB - Technical University of OstravaOstravaCzech Republic

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