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데이터 중심 통합생산시스템 설계 및 구현: 대형항공부품가공 사례

Design and Implementation of Integrated Production System for Large Aviation Parts

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주제분류산업공학

초록

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.

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.

참고문헌 (27)

  1. Expansion plans of smart factory for the major manufacturing industries in Busan, "Bae, S.H", Busan Development Institute, ~, pp.Policy Research Report 2018-01-781 (2018)
  2. Dong Chen, "A Survey on Security Issues of M2M Communications in Cyber-Physical Systems", KSII Transactions on Internet and Information Systems, 6(1), pp.24~45 (2012), 한국인터넷정보학회
  3. 최우형, "데이터센터의 설비 통합 모니터링 시스템 설계에 관한 연구", 한국정보통신학회논문지, 19(4), pp.909~916 (2015), 한국정보통신학회[DOI]
  4. 최원용, "MES개선을 위한 RFID 적용-EPCIS 확장모형을 중심으로-", 한국콘텐츠학회 논문지, 7(12), pp.333~345 (2007), 한국콘텐츠학회
  5. 한재훈, "자동차부품 벤처기업 스마트공장 및 모니터링 시스템 구현 사례연구", 벤처창업연구, 12(5), pp.29~37 (2017), 한국벤처창업학회[DOI]
  6. 한원규, "납기를 갖는 Job Shop 생산시스템에 대한 Simplified-DBR Scheduling 적용방안에 관한 연구", 산업공학(IE interfaces), 25(1), pp.106~113 (2012), 대한산업공학회
  7. 장성호, "유비쿼터스 환경을 위한 RFID 기반의 항공 물류 시스템의 설계 및 구현", 한국컴퓨터정보학회논문지, 12(6), pp.297~306 (2007), 한국컴퓨터정보학회
  8. 정도현, "6-도메인 스마트팩토리 성숙도 평가 모델 기반 도입기업 군집분석", 한국융합학회논문지, 11(9), pp.219~227 (2020), 한국융합학회[DOI]
  9. 김병주, "TOC-DBR 기반의 스마트공장 레이아웃 설계에 관한 연구", 대한산업공학회지, 43(1), pp.12~18 (2017), 대한산업공학회[DOI]
  10. 김대근, "인더스트리4.0 기반 사이버물리시스템과 생산관리시스템간의 미들웨어 구축을 통한 수평적 통합", 멀티미디어학회논문지, 17(12), pp.1484~1493 (2014), 한국멀티미디어학회[DOI]
  11. 최호성, "공장자동화 시스템의 생산성 향상을 위한 SEB 시스템 설계 및 제작", 융합보안 논문지, 16(5), pp.87~93 (2016), 한국융합보안학회
  12. 김동민, "RFID 기반 상품의 효율적 라이프사이클 관리를 위한 통합 시스템 설계", 산업공학(IE interfaces), 19(4), pp.333~341 (2006), 대한산업공학회
  13. 김성민, "중소기업 스마트 공장 확장성 사례연구", 한국산업경영시스템학회지, 44(2), pp.43~57 (2021), 한국산업경영시스템학회
  14. Technology RoadMap for SME 2021 ~ 2023– Smart Manufacturing, "Korea Technology and Information Promotion Agency for SMEs", ~ (2020)
  15. 이현정, "스마트공장 구축을 위한 현장실태 및 요구사항 분석", 한국정밀공학회지, 34(1), pp.29~34 (2017), 한국정밀공학회
  16. 이광형, "효율적인 후판 재고관리를 위한 RFID 스캐닝 로봇 시스템 개발", 한국산학기술학회논문지, 17(10), pp.1~8 (2016), 한국산학기술학회[DOI]
  17. Lee, S. D., "The global promotion trend and Korea standardization counterplan of the smart factory", KSA Policy Study, 12(3), pp.3~25 (2015)
  18. 이영운, "이종 공작기계 운용 관리를 위한 분산 스마트 데이터 모니터링 시스템 개발", 디지털콘텐츠학회논문지, 18(6), pp.1175~1182 (2017), 한국디지털콘텐츠학회[DOI]
  19. Nam, S. H., "Korea evaluation institute of industrial technology", The Domestic and Overseas Status and Prospect of the Smart Factory, 14(10), pp.54~72 (2014)
  20. IT & Future Strategy Report (Industry 4.0 &Creative Economy Strategies of Manufacture Industry), "NIA", ~ (2014)
  21. Combination Smart ICT with Manufacture Industry, Recent Industry 4.0 Policy ICT Trends of Germany, "NIPA", 27~39 (2014)
  22. 박인정, "RFID를 이용한 작업관리 시스템", 전자공학회논문지 - CI, 44(2), pp.31~36 (2007), 대한전자공학회
  23. Industry 4.0 Blueprints of Future Manufacture Industry in Germany, "POSCO Management Institute", ~ (2014)
  24. Industry trends – manufacturing industry, Vol. 10, "SPRI", SW Centric Society, 48~60 (2014)
  25. Wahlster, W., "Industry 4.0 - the semantic product memory as a basis for cyber-physical", IDA 30 Year Celebration Seminar 2013, pp.1~50 (2013)
  26. Jiafu Wan, "Advances in Cyber-Physical Systems Research", KSII Transactions on Internet and Information Systems, 5(11), pp.1891~1908 (2011), 한국인터넷정보학회
  27. 요시다 아쯔노리, "복수 DBR 기법을 이용한 PCB 생산라인의 효율적인 생산계획 시스템 개발", 한국산학기술학회논문지, 10(10), pp.2935~2944 (2009), 한국산학기술학회

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