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Analysis of ICT Converged Smart Factory and its Driving Strategy

ICT 융합 스마트공장의 분석 및 추진전략

  • Moon, Seung Hyeog (Dept. of Mechanical and Metallic Mold Engineering, Gwangju Univ)
  • 문승혁 (광주대학교 기계.금형공학부)
  • Received : 2018.05.12
  • Accepted : 2018.07.23
  • Published : 2018.08.31

Abstract

ICT converged smart factory started from German Industry 4.0 has been the driving force for the $4^{th}$ Industrial Revolution and the center of manufacturing innovation for major industrial countries. It will be developed according to industry characteristics of each country. Korea is relatively later than other competing countries in the smart factory area. So, the government is establishing related policy and tendering all sorts of supports for smart factory mainly to the small and medium-sized enterprises to spread over the manufacturing industry. It is necessary for government to categorize among similar manufacturing industry and make them share digitalized production information mutually. It will be more effective method for securing global competitiveness than the uniform support. Also, large companies need to establish cloud based production forecasting system over similar industry and share it with other companies rather than expansion of individual smart factory. Mutual development in the manufacturing industry will be realized when the small and medium-sized enterprises and large companies take part in the cooperating ground of smart factory.

독일의 Industry4.0에서 출발한 ICT 융합 스마트공장은 4차 산업혁명의 견인차가 되어왔고 주요 국가의 제조업 혁신의 중심에 서 있다. 또한 국가 별 산업 특성에 맞는 방식으로 발전해 나가고 있다. 한국의 경우 경쟁국 대비 뒤늦은 출발로 인해 정부는 빠른 시간 내에 중소 중견업체 중심으로 스마트공장 확산을 위해 정책 수립 및 각종 지원을 하고 있다. 스마트공장의 국제 경쟁력 확보를 위해서는 중소 중견업체에 대한 획일적인 지원보다는 유사 제조업종별 카테고리화 및 디지털 기반의 생산정보 공유가 필요하다. 또한 대기업도 개별적인 스마트공장 확충보다는 중소 중견기업과 함께 동종 산업 간 클라우드 기반의 생산 예측 시스템 구축 및 공유를 통한 스마트공장 협력기반 마련에 동참하여야 제조 산업의 동반 발전을 이룰 수 있다.

Keywords

References

  1. Shiyong Wang, Jiafu Wan, Di Li, Chunhua, Zhang, "Implementing Smart Factory of Industrie 4.0: An Outlook," International Journal of Distributed Sensor Networks, Volume 2016, Article ID 3159805, 10 pages
  2. Kim, B., "Main issue and R&D cases of Smart Factory," Korean Industrial Engineering Conference, 2016
  3. Jay Lee, Behrad Bagheri, Hung-An Kao, "Recent Advances and Trends of Cyber-Physical Systems and Big Data Analytics in Industrial Informatics, Proceeding of Int. Conference on Industrial Informatics (INDIN) 2014
  4. GE DIGITAL Technical White paper, "Predix Architecture and Services," 2015
  5. Agnieszka Radziwon, Arne Bilberg, Marcel Bogers, Erik Skov Madsen, "The Smart Factory: Exploring Adaptive and Flexible Manufacturing Solutions," 24th DAAAM International Symposium on Intelligent Manufacturing and Automation, 2013
  6. Ling Li, "China's manufacturing locus in 2025: with a comparison of Made-in-China 2025 and Industry 4.0," Technological Forecasting and Social Change, online 10 August 2017
  7. Dongbeom Ko, Jeongmin Park, "A Study on the Visualization of Facility Data Using Manufacturing Data Collection Standard," The Journal of The Institute of Internet, Broadcasting and Communication (IIBC), Vol. 18, No. 3
  8. Hee-Jin Kim, Yun-Seon Park, Seul-gi Ryu, Ga-Eun Lee, Seung-joo Lee, Jong-Kwon Won, Hye-Jeong Hwang, Young-Hyun Chang, "Korea's Development Strategy through 5G Network Global Status Analysis, The Journal of the Convergence on Culture Technology, Vol. 3, No. 2