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스마트공장에 관한 체계적 문헌 분석: 국내 학술 경향 연구

A Systematic Literature Review on Smart Factory Research: Identifying Research Trends in Korean Academia

  • 김기범 (연세대학교 일반대학원 기술경영) ;
  • 이정우 (연세대학교 정보대학원)
  • Kim, Gibum (Management of Technology, Graduate School, Yonsei University) ;
  • Lee, Jungwoo (Graduate School of Information, Yonsei University)
  • 투고 : 2020.10.06
  • 심사 : 2020.11.20
  • 발행 : 2020.11.28

초록

본 연구에서는 스마트공장에 대한 국내학술연구의 경향을 분석하고 향후 연구방향을 제시하였다. 체계적 문헌 연구방법으로 한국연구재단 등재지와 등재후보지를 검색하여 144개의 분석대상 논문을 선정 후 분석하였으며, 비블리오메트릭 분석법으로 VOSviewer를 활용한 동시 출현 단어 분석을 실시하였다. 분석 결과, 국내 스마트공장 연구는 자동화, 지능화, 빅데이터 기술 분야와 운영시스템, 개념화 연구, 해외 사례 및 정책의 6개의 분야로 나누어 진행되고 있는 것을 찾아내었다. 사물인터넷은 스마트공장의 핵심기술이자 핵심어로 거의 모든 연구들에서 다루어지고 있었으며, 서비스화에 관한 연구는 숫자가 상대적으로 적어서 앞으로 보강이 필요한 것으로 보였다. 보안기술 연구는 타 분야와 연계성이 부족하여 향후 상호 연계한 융합 연구가 필요한 것으로 파악되었다. 본 연구의 결과는 향후 개별 연구의 위상을 정립하고 연구분야를 찾아내는 데에 도움이 될 수 있을 것이다.

The paper reports on a systematic literature review results concerning the smart factory research in Korea. 144 papers were identified from the articles published in Korean journals listed in the Korean citation index by keyword search related to smart factory. Bibliometric analyses were conducted by way of co-occurrence and network analysis using the VOSViewer. Automation, intelligence, and bigdata were identifed as three critical clusters of research while, operating systems, international policy and cases, concept analysis as other three clusters of research. Internet of Things turned out to be a key technology of smart factory linking all of these areas. Servitization studies were small in numbers but seemed to have a lot of potential. Security researches seemed to be lacking connections with other areas of studies. Results of this study can be used as a milestone for identifying future research issues in smart factories.

키워드

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