Ocean Systems Engineering

Techno-Press (테크노프레스)
권호 표지
DOI QR코드

DOI QR Code

Manufacturing process improvement of offshore plant: Process mining technique and case study

  • Shin, Sung-chul (Department of Naval Architecture and Ocean Engineering, Pusan National University) ;
  • Kim, Seon Yeob (Department of Marine engineering, Gyeongsang National University) ;
  • Noh, Chun-Myoung (Department of Ocean System engineering, Gyeongsang National University) ;
  • Lee, Soon-sup (Department of Ocean System engineering, Gyeongsang National University) ;
  • Lee, Jae-chul (Department of Ocean System engineering, Gyeongsang National University)
  • Received : 2019.01.09
  • Accepted : 2019.05.03
  • Published : 2019.09.25
⟨ Previous Next ⟩

Abstract

The shipbuilding industry is characterized by order production, and various processes are performed simultaneously in the construction of ships. Therefore, effective management of the production process and productivity improvement form important key factors in the industry. For decades, researchers and process managers have attempted to improve processes by using business process analysis (BPA). However, conventional BPA is time-consuming, expensive, and mainly based on subjective results generated by employees, which may not always correspond to the actual conditions. This paper proposes a method to improve the production process of offshore plant modules by analysing the process mining data obtained from the shipbuilding industry. Process mining uses information accumulated from the system-provided event logs to generate a process model and determine the values hidden within the process. The discovered process is visualized as a process model. Subsequently, alternatives are proposed by brainstorming problems (such as bottlenecks or idle time) in the process. The results of this study can aid in productivity improvement (idle time or bottleneck reduction in the production process) in conjunction with a six-sigma technique or ERP system. In future, it is necessary to study the standardization of the module production processes and development of the process monitoring system.

Keywords

Acknowledgement

Grant : The Competency Development Program for Industry Specialist

Supported by : National Research Foundation of Korea (NRF), Korea Institute for Advancement of Technology(KIAT)

References

  1. Ang, J. H., Goh, C. and Li, Y. (2016), "Smart design for ships in a smart product through-life and industry 4.0 environment", Proceedings of the Evolutionary Computation (CEC), 2016 IEEE Congress on.
  2. Ang, J.H., Goh, C., Saldivar, A.A.F. and Li, Y. (2017), "Energy-efficient through-life smart design, manufacturing and operation of ships in an Industry 4.0 environment", Energies, 10(5), 610. https://doi.org/10.3390/en10050610
  3. Bose, R.J.C. and van der Aalst, W.M. (2012), "Process diagnostics using trace alignment: opportunities, issues, and challenges", Inform. Syst., 37(2), 117-141. https://doi.org/10.1016/j.is.2011.08.003
  4. Conforti, R., De Leoni, M., La Rosa, M. and Van Der Aalst, W.M. (2013), "Supporting risk-informed decisions during business process execution", Proceedings of the International Conference on Advanced Information Systems Engineering, Springer, Berlin, Heidelberg.
  5. Goedertier, S., De Weerdt, J., Martens, D., Vanthienen, J. and Baesens, B. (2011), "Process discovery in event logs: An application in the telecom industry", Appl. Soft Comput., 11(2), 1697-1710. https://doi.org/10.1016/j.asoc.2010.04.025
  6. Jo, H., Cho, Y., Noh, S., Ryu, K. and Song, M. (2013), "A study of a production service framework based on the manufacturing execution system", Proceedings of the 17th International Conference on Industrial Engineering Theory, Applications and Practice, Pusan National University, Busan, Korea.
  7. Kang, Y.S. and Lee, B.K. (2016), "Process Mining for Business", Seoul, Korea: Hannarae Publishing Co.
  8. Kang, Y.S., Park, S.B., Lee, B.K. and Kang, S.K. (2015), "Linking SAP ERP process mining and process monitoring in a big data era", J. e-Business Studies, 16(4), 265-288 (in Korean). https://doi.org/10.15719/geba.16.4.201508.265
  9. Kim, E., Kim, S., Cho, M., Song, M. and Yoo, S. (2013), "Simulation of optimal number of outpatient payment KIOSK estimation using process mining", Proceedings of the 2013 Korean Society of Medical Informatics Spring Conference, Asan Hospital, South Korea.
  10. Lee, C.H., Bae, Y.M., Lee, D.H. and Kim, G.J. (2017), "Expectations and issues by applying process mining to semiconductor manufacturing process: learned from other manufacturing cases", Proceedings of the Korean Operations and Management Science Society Conference, (in Korean).
  11. Lee, D.H., Park, J.H. and Bae, H.R. (2013c), "Clustering and process mining methods for analysis of block assembly work in shipbuilding industry", Proceedings of the Korean Operations and Management Science Society Conference, (in Korean).
  12. Lee, D.H., Park, J.H. and Bae, H.R. (2013d), "Comparison between planned and actual data of block assembly process using process mining in shipyards", J. Soc. e-Business Studies, 18, 145-167 (in Korean). https://doi.org/10.7838/jsebs.2013.18.4.145
  13. Lee, E.H.S., Lee, S.S., Kang, D.H. and Lee, J.C. (2017), "Study on improvement of ship block assembly process by using process mining method", J. Korean Soc. Marine Eng., 41(9), 952-959 (in Korean). https://doi.org/10.5916/jkosme.2017.41.9.952
  14. Lee, J.S., Kim, S.K. and Jung, J.Y. (2014), "Analysis of repair service process in a telecom company using process mining", Proceedings of the 2014 Korean Institute of Industrial Engineers Conference, (in Korean).
  15. Lee, S.K., Kim, B.S., Huh, M.H., Jo, S.J., Park, S.K. and Lee, D.H. (2011), "Shipbuilding block move transaction log-based process mining", Proceedings of the 2011 Korean Institute of Industrial engineers, (in Korean).
  16. Lee, D. and Bae, H. (2013b), "Analysis framework using process mining for block movement process in shipyards", J. Korean Inst. Ind. Engineers, 39(6), 577-586. (in Korean). https://doi.org/10.7232/JKIIE.2013.39.6.577
  17. Lee, D., Park, J.H. and Bae, H. (2013a), "Comparison between planned and actual data of block assembly process using process mining in shipyards", J. Soc. e-Business Studies, 18(4), 145-167. https://doi.org/10.7838/jsebs.2013.18.4.145
  18. Lee, S.I., Ryu, K.Y. and Song, M.S. (2012), "Process improvement for PDM/PLM Systems by using process mining", Korean J. Comput. Des. Eng., 17(4), 294-302. (in Korean). https://doi.org/10.7315/CADCAM.2012.294
  19. Mans, R.S., Schonenberg, M.H., Song, M., Van der Aalst, W.M. and Bakker, P.J. (2008), "Application of process mining in healthcare-a case study in a dutch hospital", Proceedings of the International joint conference on biomedical engineering systems and technologies, Springer, Berlin, Heidelberg.
  20. Park, J.S. (2016), "Employment structure and characteristics of block manufacturer in shipbuilding industry", Mon. Labor Rev., 39, 51-64. (in Korean).
  21. Park, S. (2016), "Development of innovative strategies for the Korean manufacturing industry by use of the Connected Smart Factory (CSF)", Procedia Computer Science, 91, 744-750. https://doi.org/10.1016/j.procs.2016.07.067
  22. Rozinat, A., de Jong, I.S., Gunther, C.W. and Van der Aalst, W.M. (2009), "Process mining applied to the test process of wafer scanners in ASML", IEEE T. Syst. Man Cy. C, 39(4), 474-479. https://doi.org/10.1109/TSMCC.2009.2014169
  23. Saldivar, A.A.F., Li, Y., Chen, W.N., Zhan, Z.H., Zhang, J. and Chen, L.Y. (2015), "Industry 4.0 with cyber-physical integration: A design and manufacture perspective", Proceedings of the Automation and computing (icac), 2015 21st international conference on. IEEE.
  24. Shin, S.H., Kim, D.N. and Jeon, J.H. (2016), "Analyze the causes of ship rework problems using process mining", Proceedings of the Korean Institute of Industrial Engineers, (in Korean).
  25. Song, M.S., Jung, I.K., Jo, Y.J. and Jo, H.J. (2012), "Analysis of production process data using process mining", Proceedings of the Korean Institute of Industrial Engineers, (in Korean).
  26. Van Der Aalst, W., Adriansyah, A., De Medeiros, A.K.A., Arcieri, F., Baier, T., Blickle, T., et al. (2011), "Process Mining Manifesto", Proceedings of the International Conference on Business Process Management Springer, LNBIP, 99, 169-194.
  27. Van der Aalst, W.M., Reijers, H.A., Weijters, A.J., van Dongen, B.F., De Medeiros, A.A., Song, M. and Verbeek, H.M.W. (2007), "Business process mining: An industrial application", Inform. Syst., 32(5), 713-732. https://doi.org/10.1016/j.is.2006.05.003
  28. Woo, J.H. (2014), "Research on the HSE application with smart device and biometrics", Korean J. Comput. Des. Eng., 19(2), 157-168. https://doi.org/10.7315/CADCAM.2014.157