Application of Process Mining in Industrial Maintenance: An Approach for the Analysis of Equipment Shutdown

  • Reginaldo BorgesEmail author
  • Eduardo Alves Portela Santos
  • Eduardo de Freitas Rocha Loures
Conference paper
Part of the Lecture Notes on Multidisciplinary Industrial Engineering book series (LNMUINEN)


This study aims to propose a structure that allows data provision to a maintenance area and that can be used by process mining tools in an industrial production environment. The structure uses a suitable data collection device provided by a Brazilian manufacturer, the data collected was stored in a database (DB), and then imported into the process mining software “DISCO®” to verify if the generated information is relevant and can be used for decision making. The proposed structure was able to create paths for the extraction and availability of the data in a satisfactory way since it presents interoperability between the collection mechanism and the process mining tools. Based on the data collected, it was verified that the structure, despite meeting the expectation, needs to be restructured in such a way that the inserted data are registered according to the analysis structure of the process mining tools. This issue is important because the amount of data generated is very expressive and the manual cleaning of the data would require a lot of time.


Industrial maintenance Process mining Decision-making 


  1. 1.
    Muchiri, P., Pintelon, L., Gelders, L., Martin, H.: Development of maintenance function performance measurement framework and indicators. Int. J. Prod. Econ. 131(1), 295–302 (2011)CrossRefGoogle Scholar
  2. 2.
    Faccio, M., Persona, A., Sgarbossa, F., Zanin, G.: Industrial maintenance policy development: a quantitative framework. Int. J. Prod. Econ. 147(Part A), 85–93 (2014)CrossRefGoogle Scholar
  3. 3.
    Ahmad, R., Kamaruddin, S.: An overview of time-based and condition-based maintenance in industrial application. Comput. Ind. Eng. 63(1), 135–149 (2012)CrossRefGoogle Scholar
  4. 4.
    Van der Aalst, W.M.P., Reijers, H.A., Weijters, A.J.M.M., Van Dongen, B.F., Medeiros, A.K.A., Song, M., Werbek, H.M.W.: Business process mining: an industrial application. Inf. Syst. 32(5), 713–732 (2007)CrossRefGoogle Scholar
  5. 5.
    Pintelon, L., Van Puyvelde, F.: Asset Management: The Maintenance Perspective. Acco, Leuven (2013)Google Scholar
  6. 6.
    Kumar, U., Galar, D., Parida, A., Stenström, C., Berges, L.: Maintenance performance metrics: a state-of-the-art review. JQME 19(3), 233–277 (2013)CrossRefGoogle Scholar
  7. 7.
    Sand, K., Aupied, J., Spruyt, F.: Application of Bayesian networks for maintenance and risk modelling. In: Proceedings of the 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010, pp. 530–535. IEEE Press (2010)Google Scholar
  8. 8.
    Weber, P., Medina-Oliva, G., Simon, C., Lung, B.: Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas. Eng. Appl. Artif. Intell. 25(4), 671–682 (2012)CrossRefGoogle Scholar
  9. 9.
    Wang, W.: An overview of the recent advances in delay-time-based maintenance. Reliab. Eng. Syst. Saf. 106(1), 165–178 (2012)CrossRefGoogle Scholar
  10. 10.
    Van der Aalst, W.M.P.: Process Mining: Discovery: Conformance and Enhancement of Business Process. Springer, Berlin (2011)zbMATHGoogle Scholar
  11. 11.
    Rubin, V., Günther, C.W., Van der Aalst, W.M.P., Kindler, K., Van Dongen, B.F., Schäfer, W.: Process mining framework for software processes. In: Wang, Q., Pfahl, D., Raffo, D.M. (eds.) Software Process Dynamics and Agility: ICSP 2007. LNCS, vol. 4470, pp. 169–181. Springer, Berlin (2007)CrossRefGoogle Scholar
  12. 12.
    Process Mining Group. Accessed 10 Mar 2019
  13. 13.
    Van der Aalst, W.M.P., Weijters, A.J.M.M.: Process mining: a research agenda. Comput. Ind. 53(3), 231–244 (2004)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Reginaldo Borges
    • 1
    Email author
  • Eduardo Alves Portela Santos
    • 1
  • Eduardo de Freitas Rocha Loures
    • 1
  1. 1.Pontifical Catholic University of ParanáCuritibaBrazil

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