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      스마트공장 성숙도 수준 기반 도입기업 특성 분석

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      https://www.riss.kr/link?id=T15766958

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      The wave of the Fourth Industrial Revolution is also taking place in the manufacturing industry. Major developed countries are announcing smart manufacturing as an innovation policy to respond to the 4th industrial revolution and to cope with the crisis in the manufacturing industry. Korea also announced 'Manufacturing Industry Innovation 3.0' and is supporting SMEs led by the Ministry of SMEs and Startups and KOSMO.
      In this study, based on the data used in the development of the 6 domain model for measuring the maturity level of the smart factory, the characteristics of the smart factory implemented companies were analyzed, and a study was conducted to suggest a guideline for introducing the smart factory.
      Cluster analysis was conducted using the k-means algorithm for data on companies that introduced smart factories. Through cluster analysis, it was confirmed that among the 6 domains-organization, system, process, integration, facility, and data-which are each area of ​​maturity measurement, Process, Integration, and Equipment domains play a decisive role in dividing the cluster. In addition, through this study, various implications for the smart factory introduction support project and future research directions were presented.
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      The wave of the Fourth Industrial Revolution is also taking place in the manufacturing industry. Major developed countries are announcing smart manufacturing as an innovation policy to respond to the 4th industrial revolution and to cope with the cris...

      The wave of the Fourth Industrial Revolution is also taking place in the manufacturing industry. Major developed countries are announcing smart manufacturing as an innovation policy to respond to the 4th industrial revolution and to cope with the crisis in the manufacturing industry. Korea also announced 'Manufacturing Industry Innovation 3.0' and is supporting SMEs led by the Ministry of SMEs and Startups and KOSMO.
      In this study, based on the data used in the development of the 6 domain model for measuring the maturity level of the smart factory, the characteristics of the smart factory implemented companies were analyzed, and a study was conducted to suggest a guideline for introducing the smart factory.
      Cluster analysis was conducted using the k-means algorithm for data on companies that introduced smart factories. Through cluster analysis, it was confirmed that among the 6 domains-organization, system, process, integration, facility, and data-which are each area of ​​maturity measurement, Process, Integration, and Equipment domains play a decisive role in dividing the cluster. In addition, through this study, various implications for the smart factory introduction support project and future research directions were presented.

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      목차 (Table of Contents)

      • I. 서론 1
      • 1. 연구의 배경 및 목적 1
      • 2. 연구의 구성 및 모형 설계 2
      • (1) 연구의 구성 2
      • (2) 연구 모형 설계 3
      • I. 서론 1
      • 1. 연구의 배경 및 목적 1
      • 2. 연구의 구성 및 모형 설계 2
      • (1) 연구의 구성 2
      • (2) 연구 모형 설계 3
      • II. 이론적 배경 4
      • 1. 스마트공장 4
      • (1) 스마트공장의 개념 4
      • (2) 스마트공장의 수준별 형태 7
      • (3) 스마트공장 정책 및 연구 동향 9
      • (4) 스마트공장 핵심 기술 15
      • (5) 스마트공장 성숙도 24
      • 2. 군집분석 26
      • (1) 군집분석의 개념 26
      • (2) 군집분석 연구 동향 26
      • III. 기초 분석 28
      • 1. 데이터 설명 28
      • 2. 기초 분석 30
      • (1) 기초 통계 분석 30
      • (2) 데이터 전처리 및 특징 추출 34
      • IV. 심도 분석 36
      • 1. 성숙도 수준 기반 군집 분석 36
      • (1) 성숙도 수준 분석 36
      • (2) 군집 분석 37
      • 2. 군집별 특성 분석 41
      • 3. 분석 결과 요약 및 의미 도출 45
      • V. 결론 47
      • 1. 연구 요약 47
      • 2. 연구 의의 및 한계 48
      • 참고문헌 50
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