DOI QR코드

DOI QR Code

인더스트리 4.0시대의 스마트 팩토리 성공 사례 분석: 국내 대·중·소기업을 대상으로

Analysis on Success Cases of Smart Factory in Korea: Leveraging from Large, Medium, and Small Size Enterprises

  • 박종필 (경남대학교 경영정보학과)
  • Park, Jongpil (Dept. of Management Information Systems, Kyungnam University)
  • 투고 : 2017.03.16
  • 심사 : 2017.05.20
  • 발행 : 2017.05.28

초록

최근 스마트 팩토리에 대한 관심이 크게 증가하고 있다. 그러나, 이러한 높은 관심에도 불구하고 정작 어떻게 스마트 팩토리를 구축해야 하는지에 대한 구체적인 가이드라인이 없는 실정이다. 또한 기존의 사례들은 주로 독일을 중심으로한 해외 사례로서 국내에 그대로 적용하기에는 다소의 괴리감이 존재한다. 또한 스마트 팩토리는 기업의 규모와 성격에 따라 구축방식이 상이할 수 있다. 이러한 상황에서 본 연구는 국내 대 중 소기업들을 대상으로 스마트 팩토리 성공구축 사례들을 분석 하였다. 사례분석 결과, 대기업의 경우 일부공장을 대상으로 시범적으로 스마트팩토리를 구축한 후 성공적으로 평가될 시 전체공장으로 확대시키는 전략이 효과적이다. 중소기업의 경우, 낮은 수준의 스마트팩토리 구축레벨에서 높은 수준의 구축레벨로 업그레이드하는 것이 효과적이다. 말하자면 본 연구에서 실시한 스마트 팩토리 성공사례 분석을 통해, 기업들에게 성공적 구축을 위한 실제적인 가이드라인을 제공하고자 한다. 아울러, 본 연구를 통해 제시된 구축전략들은 향후 스마트 팩토리 구축을 고려하고 있는 기업과 정부에게 중요한 함의를 제시하고자 한다.

Recently, much attention in building smart factory have been dramatically increased. Despite the growing interest in smart factory, few guidelines exist how to successfully build smart factory. The purpose of this study is to investigate successful cases in building smart factory in Korea. Drawing on the analysis of successful cases, we suggest the valuable guidelines and directions toward success of smart factory. As a result, in the case of large-size firms, it is an effective strategy that expanding from a model factory to whole factory for successful smart factory building. In addition, in the case of medium and small-size firms, it is an effective strategy that upgrading from low-level step to high-level step for successful smart factory building. Therefore, this study provides companies and government with specific and practical success strategies as well as industrial policy improvements.

키워드

참고문헌

  1. Korea International Trade Association, "Suggestions for Building Smart Factory of Small and Medium Sized Manufacturing Companies," No. 2, pp. 1-33, 2016.
  2. Myung-Seong Yim), "The Convergence between Manufacturing and ICT: The Exploring Strategies for Manufacturing version 3.0 in Korea," Journal of Digital Convergence, Mar, Vol. 14, No. 3, pp. 219-226, 2016. https://doi.org/10.14400/JDC.2016.14.3.219
  3. Tae-Seog Jeong, “The suggestion for Successful Factory Converging Automation by Reviewing Smart Factories in German,” Journal of the Korea Convergence Society, Vol. 7, No. 1, pp. 189-196, 2016. https://doi.org/10.15207/JKCS.2016.7.1.189
  4. Korea Institute for Industrial Economics & Trade, "Issues and Assignment of Smart Factory for Future Manufacturing Innovation," No. 620, pp. 1-12, 2015
  5. National Information Society Agency, "Industry and Manufacturing Creation Economic Strategy," IT & Future Strategy, No. 2, pp. 1-33, 2014.
  6. Deloitte, Global Manufacturing Competitiveness Index, 2016.
  7. Economist, Coming Home: Reshoring Manufacturing, January 19, 2013 available at http://www.economist.com/news/special-report/21569570-growing-number-american-companies-are-moving-their-manufacturing-back-united.
  8. Economist, The Factory of the Future, Oct 30, 2013.available at Dhttp://www.economist.com/blogs/schumpeter/2013/10/manufacturing.
  9. Forbes, Are American Manufacturers Reshoring?, May 13, 2015 available at http://www.forbes.com/sites/billconerly/2015/05/13/are-american-manufacturers-reshoring/#490d904e40a1
  10. Martket & Market, Global Forecast: Smart Factory Market by Technology (PLM, MES, P L C , SCADA, ERP, DCS, HMI), Component (Sensors & Actuators, Communication Technologies, Industrial Robotics, Machine Vision), Industry (Process, Discrete), and Geography, March, 2016.
  11. Mario Hermann, Tobias Pentek, Boris Otto, Design Principles for Industrie 4.0 Scenarios, 2016 49th Hawaii International Conference on System Sciences (HICSS), 2016.
  12. POSCO Research Institute, "A New Start for Industry 4.0," POSRI Report, 2015.
  13. Shiyong Wanga, Jiafu Wana, Daqiang Zhangb, Di Lia, and Chunhua Zhanga, Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination, Computer Networks, Vol. 101, No. 4, pp. 158-168, 2016. https://doi.org/10.1016/j.comnet.2015.12.017
  14. Research and Markets, Global Machine Condition Monitoring Market Outlook 2020, 2016.
  15. Jay Lee, Behrad Bagheri, Hung-An Kao, “A Cyber-Physical Artchitecture for Industry 4.0-based Manufacturing Systems,” Manufacturing Letters, Vol. 3, No. 1 , pp. 18-23, 2015. https://doi.org/10.1016/j.mfglet.2014.12.001
  16. Gyeong Ho No, Seong Taek Park, Tae Ung Kim, "Analyis of the Structure and Impact of SCM Advanced Planning System : Lessons from POSCO Case," Journal of Digital Convergence, April, Vol. 12, No. 4, pp. 145-155, 2015. https://doi.org/10.14400/JDC.2014.12.4.145
  17. Soo Ho Choi, Jeong Il Choi, "GVC Case Analysis of the Motor Industry : Focusing on Hyundai Motor," Journal of Digital Convergence, December, Vol. 14, No. 12, pp. 73-84, 2016. https://doi.org/10.14400/JDC.2016.14.12.73
  18. Tae Hoon Park, Kyung Hye Park, “Effect of IT Manufacturing Firms’ Technological Innovation Factors-From Government Support Level-,” Journal of Digital Convergence, Vol. 10, No. 6, pp. 17-22, 2012. https://doi.org/10.14400/JDPM.2012.10.6.017
  19. Seung Wook Choi, Jin Taek Jung, Yen Yoo You, “The Effect of Government R&D Subsidies Program Participation Factor for SMEs R&D Performances,” Journal of Digital Convergence, Vol. 12, No. 5, pp. 171-180, 2014. https://doi.org/10.14400/JDC.2014.12.5.171
  20. Doh keun Yoon, Dong woo Yang, "An empirical study on a cause of the gap between technological success rate and commercialization success rate on the government-funded R&D projects of SMEs," Journal of Digital Convergence, Vol 8, No. 1, pp. 127-141, 2013.