Journal of the Korea Convergence Society (한국융합학회논문지)

Korea Convergence Society (한국융합학회)
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An Analysis of the Characteristics of Companies introducing Smart Factory System Using Data Mining Technique

데이터 마이닝 기법을 활용한 스마트팩토리 도입 기업의 특성 분석

  • Oh, Jeong-yoon (Dept. Management Information Systems, Chungbuk National University) ;
  • Choi, Sang-hyun (Dept. Management Information Systems, Chungbuk National University)
  • 오정윤 (충북대학교 경영정보학과) ;
  • 최상현 (충북대학교 경영정보학과)
  • Received : 2018.03.06
  • Accepted : 2018.05.20
  • Published : 2018.05.28
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Abstract

Currently, research on smart factories is steadily being carried out in terms of implementation strategies and considerations in construction. Various studies have not been conducted on companies that introduced smart factories. This study conducted a questionnaire survey for SMEs applying the basic stage of smart factory. And the cluster analysis was conducted to examine the characteristics of the company. In addition, we conducted Decision Tree and Naive Bay to examine how the characteristics of a company are derived and compare the results. As a result of the cluster analysis, it was confirmed that the group was divided into the high satisfaction group and the low satisfaction group. The decision tree and the Naive Bay analysis showed that the higher satisfaction group has high productivity.

현재 스마트팩토리에 관한 연구는 구축 방안이나 설립 시 고려사항 등에 대해 꾸준히 진행되고 있다. 그러나 스마트 팩토리를 도입한 기업에 대해서는 다양한 연구가 이루어지지 않고 있다. 이 연구에서는 스마트팩토리의 기초단계를 적용한 중소기업을 대상으로 설문조사를 실시하였다. 만족도의 특성을 확인하기 위해 군집분석을 하였고, 만족도에 따라 어떠한 특성을 가지는지 확인하기 위해 의사결정나무와 나이브베이즈 분석을 하였다. 군집분석 결과 만족도가 높은 그룹과 낮은 그룹으로 나뉘는 것을 확인하였으며, 의사결정나무와 나이브베이즈 분석을 실시한 결과 만족도가 높을수록 생산성 개선 정도가 높은 것을 확인하였다.

Keywords

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