Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
권호 표지
DOI QR코드

DOI QR Code

Design and Implementation of Integrated Production System for Large Aviation Parts

데이터 중심 통합생산시스템 설계 및 구현: 대형항공부품가공 사례

  • Bae, Sungmoon (Department of Industrial and Systems Engineering, GyeongSang National Univeristy) ;
  • Bae, Hyojin (VMS Solutions) ;
  • Hong, Kum Suk (Korea Aerospace Industries, Ltd.) ;
  • Park, Chulsoon (Department of Industrial and Systems Engineering, Changwon National University)
  • 배성문 (경상국립대학교 산업시스템공학부) ;
  • 배효진 (브이엠에스솔루션스) ;
  • 홍금석 (한국항공우주산업(주)) ;
  • 박철순 (창원대학교 산업시스템공학과)
  • Received : 2021.11.25
  • Accepted : 2021.12.09
  • Published : 2021.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

In the era of the 4th industrial revolution driven by the convergence of ICT(information and communication technology) and manufacturing, research on smart factories is being actively conducted. In particular, the manufacturing industry prefers smart factories that autonomously connect and analyze data. For the efficient implementation of smart factories, it is essential to have an integrated production system that vertically integrates separately operated production equipment and heterogeneous S/W systems such as ERP, MES. In addition, it is necessary to double-verify production data by using automatic data collection technology so that the production process can be traced transparently. In this study, we want to show a case of data-centered integration of a large aircraft parts processing factory that requires high precision, takes a long time, and has the characteristics of processing large raw materials. For this, the components of the data-oriented integrated production system were identified and the connection structure between them was explained. And we would like to share the experience gained through the design and implementation case. The integrated production system proposed in this study integrates internal components based on data, which is expected to serve as a basis for SMEs to develop into an advanced stage, and traces materials with RFID technology.

Keywords

References

  1. Bae, S.H, Joo, S.H., and Kim, D.K., Expansion plans of smart factory for the major manufacturing industries in Busan, Policy Research Report 2018-01-781, Busan Development Institute, 2018.
  2. Chen, D. and Chang, G., A survey on security issues of m2m communications in cyber-physical systems, KSII Transactions on Internet and Information(TIIS), 2012, Vol. 6, No. 1, pp. 24-45.
  3. Choi, W.H., Hwang, H.S., and Kim, C.S., The study on the design of the integrated monitoring system of facilities in data center, Journal of the Korea Institute of Information and Communication Engineering, 2015, Vol. 19, No. 4, pp. 909-916. https://doi.org/10.6109/JKIICE.2015.19.4.909
  4. Choi, W. and Rhee, J., Application of RFID system for MES enhancement, Journal of the Korea Contents Association, 2007, Vol. 7, No. 12, pp. 333-345. https://doi.org/10.5392/JKCA.2007.7.12.333
  5. Han, J.H., Lee, D.S., and Park, R.G., A case study on smart plant and monitoring system implementation of venture company for auto parts, Asia-Pacific Journal of Business Venturing and Entrepreneurship, 2017, Vol. 12, pp. 29-37. https://doi.org/10.16972/APJBVE.12.5.201710.29
  6. Han, W. and Park, C., A study on simplified-DBR scheduling in job shop environment with due dates, IE Interfaces, 2012, Vol. 25, No. 1, pp. 106-113. https://doi.org/10.7232/IEIF.2012.25.1.106
  7. Jang, S., Ma, Y., Noh, C., Park, Y., Kim, K., Cha, H., Lee, J. and Kim, J., Design and implementation of RFID-based airway logistics system for ubiquitous environments, Journal of the Korea Society of Computer and Information, 2007, Vol. 12, No. 6, pp. 297-306.
  8. Jeong, D.H, Ahn, J.H., and Choi, S.H., Cluster analysis of companies introducing smart factory based on 6-domain smart factory maturity assessment model, Journal of the Korea Convergence Society, 2020, Vol. 11. No. 9, pp. 219-227. https://doi.org/10.15207/JKCS.2020.11.9.219
  9. Kim, B., Kim, D., Lee, I., and Jun, C., A study on a smart factory layout design based on TOC-DBR, Journal of KIIE, 2017, Vol. 43, No. 1, pp. 12-18.
  10. Kim, D. and Park, M., Horizontal integration between cyber physical system based on industry 4.0 and manufacture execution systems through middleware building, Journal of Korea Multimedia Society, 2014, Vol. 17, No. 12, pp. 1484-1493. https://doi.org/10.9717/KMMS.2014.17.12.1484
  11. Kim, D., Park, M., Choi, H., Jung, J., Kim, J., and Park, K., A study of Big-data analysis for relationship between students, Journal of Information and Security, 2016, Vol. 16, No. 5, pp. 87-93.
  12. Kim, D. and Lee, J., A design of RFID based product lifecycle management system, IE Interfaces, 2006, Vol. 19, No. 4, pp. 333-341.
  13. Kim, S. and Ahn, J., A case study on smart factory extensibility for small and medium enterprises, Journal of Society of Korea Industrial and Systems Engineering, 2021, Vol. 42, No. 3, pp. 43-57.
  14. Korea Technology and Information Promotion Agency for SMEs, Technology RoadMap for SME 2021 ~ 2023 - Smart Manufacturing, 2020.
  15. Lee, H., Kim, Y., Yim, J., Kim, Y. and Lee, S., Analysis of field conditions and requirements for deploying smart factory, J. Korean Soc. Precis. Eng., 2017, Vol. 34, No. 1, pp. 29-34. https://doi.org/10.7736/KSPE.2017.34.1.29
  16. Lee, K., Min, S., and Lee, J., Development of robotic system based on RFID scanning for efficient inventory management of thick plates, Journal of the Korea Academia-Industrial cooperation Society, 2016, Vol. 17, No. 10, pp. 1-8. https://doi.org/10.5762/KAIS.2016.17.10.1
  17. Lee, S.D., The global promotion trend and Korea standardization counterplan of the smart factory, KSA Policy Study, 2015, Vol. 12, No. 3, pp. 3-25.
  18. Lee, Y., Choi, Y., Lee, J., Kim, B., Lee, S. and Park, J., Development of distributed smart data monitoring system for heterogeneous manufacturing machines operation, Digital Contents Society, 2017, Vol. 18, No. 6, pp. 1175-1182.
  19. Nam, S.H., Lee, J.Y., Yun, J.S., Kim, B.H., and Kim, C.H., Korea evaluation institute of industrial technology, The Domestic and Overseas Status and Prospect of the Smart Factory, 2014, Vol. 14, No. 10, pp. 54-72 .
  20. NIA, IT & Future Strategy Report (Industry 4.0 & Creative Economy Strategies of Manufacture Industry), 2014.
  21. NIPA, Combination Smart ICT with Manufacture Industry, Recent Industry 4.0 Policy ICT Trends of Germany, Recent ICT Trends Report, 2014, pp. 27-39.
  22. Park, I. and Hyun, T., Production work management system using RFID, Journal of the Institute of Electronics Engineers of Korea CI, 2007, Vol. 44, No. 2, pp. 31-36.
  23. POSCO Management Institute, Industry 4.0 Blueprints of Future Manufacture Industry in Germany, 2014.
  24. SPRI, Industry trends - manufacturing industry, SW Centric Society, 2014, Vol. 10, pp. 48-60.
  25. Wahlster, W., Industry 4.0 - the semantic product memory as a basis for cyber-physical, IDA 30 Year Celebration Seminar 2013, 2013, pp. 1-50.
  26. Wan, J., Yan, H., Suo, H., and Li, F., Advances in Cyber-Physical System Research, KSII Transactions on Internet and Information(TIIS), 2011, Vol. 5, No. 11, pp. 1891-1908.
  27. Yoshida, A. and Park, J., Development of an effective manufacturing scheduling system for PCB manufacturing line using dual DBR method, Journal of the Korea Academia-Industrial Cooperation Society, 2009, Vol. 10, No. 10, pp. 2935-2944. https://doi.org/10.5762/KAIS.2009.10.10.2935