DOI QR코드

DOI QR Code

Policy Suggestions on the Smart Factory Based on the Survey Results from Smart Factory Suppliers

스마트공장 공급기업 설문조사를 바탕으로 한 스마트공장 정책 제언

  • Yoon, Yeong-Ho (Department of Industrial and Management Engineering, Kyonggi University) ;
  • Lee, Jin (Department of Industrial and Management Engineering, Kyonggi University) ;
  • Lee, Eunbin (Department of Industrial and Management Engineering, Kyonggi University) ;
  • Moon, Bo-Myeong (Department of Industrial and Management Engineering, Kyonggi University) ;
  • Seo, Ji-Hyung (Department of Industrial and Management Engineering, Kyonggi University) ;
  • Lee, Jeongcheol (Korea Productivity Center) ;
  • Chang, Tai-Woo (Department of Industrial and Management Engineering, Kyonggi University) ;
  • Sung, Siil (Department of Industrial and Management Engineering, Kyonggi University)
  • 윤영호 (경기대학교 산업경영공학과) ;
  • 이진 (경기대학교 산업경영공학과) ;
  • 이은빈 (경기대학교 산업경영공학과) ;
  • 문보명 (경기대학교 산업경영공학과) ;
  • 서지형 (경기대학교 산업경영공학과) ;
  • 이정철 (한국생산성본부) ;
  • 장태우 (경기대학교 산업경영공학과) ;
  • 성시일 (경기대학교 산업경영공학과)
  • Received : 2020.02.10
  • Accepted : 2020.02.24
  • Published : 2020.03.31

Abstract

Purpose: This paper treats the survey result from the suppliers of smart factories. Based on the survey results, it is provided suggestions about government policies of the smart factory. Methods: For providing political suggestions, the survey of smart factory is conducted. The survey results are analyzed by the correlation and association methods based on the stratification. Results: The survey results are analyzed for extracting policy-level suggestions. Multiple policy-level suggestions are identified and presented in the conclusion. Conclusion: Six policy-level suggestions are presented for enhancing the management efficiency of suppliers of smart factory.

Keywords

References

  1. Agrawal, R., and Srikant, R. 1994. Fast Algorithms for Mining Association Rules. Proceedings of Very Large Data Bases. pp. 487-499.
  2. Cho, J., and Shin, W. 2019. Developing a Framework for Assessing Smart Factory Readiness of SMEs and Case Study. J Korean Soc Qual Manag 47:1-15. https://doi.org/10.7469/JKSQM.2019.47.1.1
  3. Gwak, M. 2018. An Analytical Study on Business Performances According to the Application of Smart Factory Core Technology : Focusing on the Application Level and the Variables Affecting Business Performances. thesis, Seoul National University of Science and Technology.
  4. Hogg, R., McKean, J., and Craig, A. 2005. Introduction to Mathematical Statistics. Pearson Education.
  5. Jeong, H. 2017. Reliability Paradigm-Changes in Industry 4.0. Journal of Applied Reliability 17:289-295.
  6. Kim, E., and Park, M. 2018. A Study on the Limits of Manufacturing Innovation and Policy Direction of SMEs in the 4th Industrial Revolution : Focusing on the Limitations and Examples of Pohang SME's Smart Factory Introduction. Journal of Science & Technology Studies 18:269-306.
  7. Mun, B., Lim, M., Kim, S., and Bae, S. 2019. Fault Detection and Diagnosis of Smart Factory Equipments Using Wavelet Spectrum. Journal of Applied Reliability. 19:22-30. https://doi.org/10.33162/JAR.2019.03.19.1.22
  8. Oh, S., Park, W., Riew, M., and Lee, M. 2018. A Case Study of the Construction of Smart Factory in a Small Quantity Batch Production System: Focused on IDIS Company. J Korean Soc Qual Manag 46:11-26. https://doi.org/10.7469/JKSQM.2018.46.1.011
  9. Park, H., Shim, W., and Lee, J. 2018. Analysis on Efficiency and Productivity of Smart Factory Industry Using DEA and Malmquist: Chiefly on System and Application Software Publishing. Journal of Industrial Innovation 34:101-130.
  10. Shin, D, 2014. A Socio-technical Framework for Internet of Things Design : A Human-Centered Design for the Internet of Things. Telematics and Informatics 31:519-531. https://doi.org/10.1016/j.tele.2014.02.003