인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
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지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
학술저널
Full-text
오류 신고하기해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
초록·키워드
Industrial 4.0 is a comprehensive convergence of IT and industry, including AI, big data, robots, autonomous vehicles, and smart factories. The most representative field is the smart factory. The Korean government is also expanding support projects aimed at distributing 30,000 smart factories by 2022 to SMEs. However, despite the government"s aggressive policies, smart factories are not well spread in case “small and medium-sized” manufacturing plants. Most of the related researches have been focused on "Smart Factory Standardization" and "Study Preparation Framework for Establishing Smart Factory Introduction Stages", but empirical research on SMEs before the introduction of Smart Factory has not been conducted yet. The purpose of this study is to derive the key determinants by analyzing the factors hesitant to introduce and the factors that domestic small and medium-sized manufacturing companies want to introduce. As a method of research, the 5force stakeholders of smart factories are executed through Delphi to derive the hesitate factors and introduction factors, and the results are analyzed by AHP, which is a multi-standard pairwise comparison method. This study has a different meaning as an empirical study on the stance and management status of SMEs, which have slowed the expansion of smart factories. Based on the results of this study, it is expected that smart factories will be further expanded by preparing appropriate policy measures for the management environment.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-ECN-0101-2021-590-001860334