한국생산제조학회 학술지 영문 홈페이지
[ Special Issue : Digital Transformation - Smart Factory Operation Managements ]
Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 33, No. 1, pp.69-76
ISSN: 2508-5107 (Online)
Print publication date 15 Feb 2024
Received 16 Jan 2024 Revised 05 Feb 2024 Accepted 06 Feb 2024
DOI: https://doi.org/10.7735/ksmte.2024.33.1.69

필름 제조 연속공정의 FOM 시스템을 활용한 제조혁신 사례 연구

김순철a ; 김재하a ; 남기선a ; 김수영a, *
A Case Study on Manufacturing Innovation Using the FOM System in the Continuous Process of Film Manufacturing
Soon Cheol Kima ; Jae Ha Kima ; Ki Sun Nama ; Su Young Kima, *
aGraduate student in Department of AI Smart Factory Convergence Engineering, Hoseo University

Correspondence to: *Tel.: +82-70-8600-5336 E-mail address: df2030@hoseo.edu (Su Young Kim).

Abstract

It is a continuation of productivity improvement owing to securing manufacturing competitiveness amid the rapidly changing global business environment, exchange rates, and large fluctuations in raw material prices. In particular, in the case of small and medium-sized manufacturing companies, difficulties such as manpower shortages and the impact of 52 h working hours are increasing. To overcome this, manufacturing innovation activities were proposed based on the FOM system using advanced manufacturing site data than the existing manufacturing innovation method, and the manufacturing innovation method was applied and the effectiveness was verified through a case company of the continuous production process of film manufacturing.

Keywords:

FOM(smart-factory operation management), Smart factory, Manufacturing innovation, Predictive maintenance, 4M(man, machine, material, method)

Acknowledgments

이 연구는 2023년도 정부(산업통상자원부)의 재원으로 한국산업기술진흥원의 지원을 받아 수행된 연구임(P0012453, 2023년 산업혁신 인재성장 지원사업)

References

  • Kim, S. Y., 2018, A Case Study of the Introduction of Smart Factory Operation Management(FOM) in the Fourth Industrial Revolution Era, Korean Computers and Accounting Review, 16:1 43-62. [https://doi.org/10.32956/kaoca.2018.16.1.43]
  • Kim, J. H., Kim, S. Y., 2021, Productivity Analysis Method based on Manufacturing Big-data using the FOM System in the FOMs Package, J. Korean Soc. Manuf. Technol. Eng., 30:4 259-268. [https://doi.org/10.7735/ksmte.2021.30.4.259]
  • Lee, H. Y., Kim, S. C., Kim, H. S., Lee, E. S., Kim, S. Y., 2023, A Study on the Introduction of FOMs in BOPP Film Manufacturing Plant, Proc. Korean Soc. Manuf. Technol. Eng. Spring Conf., 100.
  • No, K. H., 2023, (A) Study on Operating Rate Metrics linked to Optimal Process Operation and A Case Study of Improving Production Capacity by Using FOM, Doctoral Dissertation, Hoseo University, Republic of Korea.
  • Kim, S. Y., 2015, Development of Digital Factory FOM to Improve Productivity, Doctoral Dissertation, Daejeon University, Republic of Korea.
  • Son, K. S., You, H. S., Kim, J. H., Kim, Y. H., Kim, S. Y., 2022, Method of FOM&MES Interconnection for Real-Time Production Capacity and Key Performance Indicators (KPI) Management, Proc. Korean Soc. Manuf. Technol. Eng. Spring Conf., 90.
  • Lee, B. O., 2023, Utilization System for Optimizing Maintenance of IIoT-based Main Point Utilities, Doctoral Dissertation, Tech University of Korea, Republic of Korea.
  • Lee, J. H., 2021, Real-time Predictive Maintenance System Implementation in IIoT Environment, Master Thesis, Hanyang University, Republic of Korea.
  • Lee, B. O., 2023, Design and Implementation of Code-based Failure Type Management System for Efficient Facility Maintenance, Master Thesis, Pusan University, Republic of Korea.
  • Park, Y. C., Lee, S. B., 2009, Application Case Study of Change Management Program IFI(Integrated Field Innovation) Methodology of Field Workers, IE interfaces, 22:3 243-251.
Soon Cheol Kim

Graduate Student in Department of AI Smart Factory Convergence Engineering, Hoseo University. His research interest is FOM (smart-Factory Operation Management) with AI.

E-mail: ksc7975@naver.com

Jae Ha Kim

Graduate Student in Department of AI Smart Factory Convergence Engineering, Hoseo University. His research interest is FOM (smart-Factory Operation Management) with AI.

E-mail: dfs717@naver.com

Ki Sun Nam

Graduate Student in Department of AI Smart Factory Convergence Engineering, Hoseo University. His research interest is FOM (smart-Factory Operation Management) with AI.

E-mail: ksnam20@hanmail.net

Su Young Kim

Professor in Department of AI Smart Factory Convergence Engineering, Hoseo University. His research interest is Applications of FOMs (smart-Factory Operation Management) with AI.

E-mail: df2030@hoseo.edu