Skip to main content

Workload and Delay Analysis in Manufacturing Process Using Process Mining

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 219))

Abstract

Process analysis is one of the important topics in manufacturing industry. Recently process mining has been applied to analyze manufacturing processes. In this paper we investigate the characteristics of event logs in make-to-order production and propose a method to analyze manufacturing processes in make-to-order production such as construction, shipbuilding and aviation by utilizing and extending existing process mining techniques. Among three major analysis perspectives in process mining such as process discovery, performance analysis, and conformance checking, this paper focuses on the performance analysis including workload analysis and delay analysis. To validate the proposed method, a case study with real data is conducted.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Alkass, S., Mazerolle, M., Harris, F.: Construction delay analysis techniques. Constr. Manag. Econ. 14, 375–394 (1996)

    Article  Google Scholar 

  2. Bozkaya, M., Gabriels, J., Werf, J.: Process diagnostics: a method based on process mining. In: International Conference on Information, Process, and Knowledge Management, eKNOW 2009, pp. 22–27. IEEE (2009)

    Google Scholar 

  3. 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. Comput. Ind. 64, 57–67 (2013)

    Article  Google Scholar 

  4. Edgar, T.F., Butler, S.W., Campbell, W.J., Pfeiffer, C., Bode, C., Hwang, S.B., Balakrishnan, K., Hahn, J.: Automatic control in microelectronics manufacturing: practices, challenges, and possibilities. Automatica 36, 1567–1603 (2000)

    Article  MATH  Google Scholar 

  5. ElMaraghy, H.A.: Reconfigurable process plans for responsive manufacturing systems. In: Cunha, P.F., Maropoulos, P.G. (eds.) Digital Enterprise Technology. Perspectives and Future Challenges, pp. 35–44. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  6. Harding, J., Shahbaz, M., Kusiak, A.: Data mining in manufacturing: a review. J. Manuf. Sci. Eng. 128, 969–976 (2006)

    Article  Google Scholar 

  7. Hernandez-Matias, J.-C., Vizán, A., Hidalgo, A., Ríos, J.: Evaluation of techniques for manufacturing process analysis. J. Intell. Manuf. 17, 571–583 (2006)

    Article  Google Scholar 

  8. Hornix, P.T.: Performance analysis of business processes through process mining. Master’s thesis, Eindhoven University of Technology (2007)

    Google Scholar 

  9. Jeon, D., Yahya, B., Bae, H., Song, M., Sul, S., Sutrisnowati, R.: Conceptual framework for container-handling process analytics. ICIC Express Lett. 7, 1919–1924 (2013)

    Google Scholar 

  10. Lin, H., Fan, Y., Newman, S.T.: Manufacturing process analysis with support of workflow modelling and simulation. Int. J. Prod. Res. 47, 1773–1790 (2009)

    Article  MATH  Google Scholar 

  11. Mans, R.S., Schonenberg, M.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., Filipe, J., Gamboa, H. (eds.) BIOSTEC 2008. CCIS, vol. 25, pp. 425–438. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  12. Mohamed, N., Khan, M.: Decomposition of manufacturing processes: a review. Int. J. Automot. Mech. Eng. 5, 545–560 (2012)

    Article  Google Scholar 

  13. Rozinat, A., de Jong, I.S., Gunther, C., van der Aalst, W.M.P.: Process mining applied to the test process of wafer scanners in ASML. IEEE Trans. Syst. Man Cybern C Appl. Rev. 39, 474–479 (2009)

    Article  Google Scholar 

  14. Son, S., Yahya, B., Song, M., Choi, S., Hyeon, J., Lee, B., Jang, Y., Sung, N.: Process mining for manufacturing process analysis: a case study. In: Proceeding of 2nd Asia Pacific Conference on Business Process Management, Brisbane, Australia (2014)

    Google Scholar 

  15. Song, M., van der Aalst, W.M.P.: Supporting process mining by showing events at a glance. In: Proceedings of the 17th Annual Workshop on Information Technologies and Systems (WITS), pp. 139–145 (2007)

    Google Scholar 

  16. Song, M., van der Aalst, W.M.P.: Towards comprehensive support for organizational mining. Decis. Support Syst. 46, 300–317 (2008)

    Article  Google Scholar 

  17. Talluri, S.: A benchmarking method for business-process reengineering and improvement. Int. J. Flex. Manuf. Syst. 12, 291–304 (2000)

    Article  Google Scholar 

  18. Tsung, F., Zhou, Z., Jiang, W.: Applying manufacturing batch techniques to fraud detection with incomplete customer information. IIE Trans. 39, 671–680 (2007)

    Article  Google Scholar 

  19. van der Aalst, W.M.P., Adriansyah, A., van Dongen, B.F.: Replaying history on process models for conformance checking and performance analysis. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 2, 182–192 (2012)

    Article  Google Scholar 

  20. van der Aalst, W.M.P., Reijers, H.A., Weijters, A.J., van Dongen, B.F., de Alves Medeiros, A., Song, M., Verbeek, H.: Business process mining: an industrial application. Inf. Syst. 32, 713–732 (2007)

    Article  Google Scholar 

  21. van der Aalst, W.M.P., Schonenberg, M.H., Song, M.: Time prediction based on process mining. Inf. Syst. 36, 450–475 (2011)

    Article  Google Scholar 

  22. Vignat, F., Villeneuve, F.: Simulation of the manufacturing process, generation of a model of the manufactured parts. digital enterprise technology. In: Cunha, P.F., Maropoulos, P.G. (eds.) Digital Enterprise Technology, pp. 542–552. Springer, Heidelberg (2007)

    Google Scholar 

  23. Wang, Z., Du, P., Yu, Y.: An intelligent modeling and analysis method of manufacturing process using the first-order predicate logic. Comput. Ind. Eng. 56, 1559–1565 (2009)

    Article  Google Scholar 

  24. Wen, L., Tuffley, D.: Formalizing manufacturing process modeling using composition trees. Adv. Mat. Res. 399, 1852–1855 (2012)

    Google Scholar 

Download references

Acknowledgments

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (No. 2011-0010561).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Minseok Song .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Park, M., Song, M., Baek, T.H., Son, S., Ha, S.J., Cho, S.W. (2015). Workload and Delay Analysis in Manufacturing Process Using Process Mining. In: Bae, J., Suriadi, S., Wen, L. (eds) Asia Pacific Business Process Management. AP-BPM 2015. Lecture Notes in Business Information Processing, vol 219. Springer, Cham. https://doi.org/10.1007/978-3-319-19509-4_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-19509-4_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19508-7

  • Online ISBN: 978-3-319-19509-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics