Journal of Digital Policy (디지털정책학회지)

The Society of Digital Policy and Management (한국디지털정책학회)
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Research on Precision Processing Production System based on Manufacturing Execution System

제조 실행 시스템 기반 정밀 가공 생산 시스템 연구

  • Seong-Uk Shin (Department of IT Convergence Semi-Conductor Engineering, Tech. University of Korea) ;
  • Hyun-Mu Lee (Department of Nano Semi-Conductor Engineering, Tech. University of Korea) ;
  • Seung-Ho Park (Department of IT Convergence Semi-Conductor Engineering, Tech. University of Korea)
  • 신성욱 (한국공학대학교 IT반도체공학과) ;
  • 이현무 (한국공학대학교 나노반도체공학과) ;
  • 박승호 (한국공학대학교 IT반도체공학과)
  • Received : 2023.11.24
  • Accepted : 2023.12.28
  • Published : 2023.12.28
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Abstract

In this paper, in order to improve production processing for small and medium-sized precision processing companies, we apply a manufacturing execution system to existing process methods and integrate precision processing data to strengthen process management within the company, increase facility operation efficiency, and realize a reduction in defect rates. The differences in productivity improvement and cost reduction rates were compared and analyzed. As a result, production productivity improved by 7.0% and product defect rate improved by 0.1% point due to the introduction of the manufacturing execution system. It was confirmed that manufacturing cost reduction improved by 10.0% and delivery compliance rate improved by 1.1%. If additional smart factory technology is applied based on the manufacturing execution system proposed in this study in the future, sales and profits in the processing industry are expected to increase due to an increase in the PQCD index.

본 논문에서는 중소 규모의 정밀 가공 기업에 대한 생산 가공의 개선을 위하여 기존 공정 방식에 제조 실행 시스템을 적용하고 정밀가공의 데이터를 통합하였다. 이에 따른 기업 내 공정 관리 시스템의 강화, 장비 운용 효율의 증대, 불량률 감소를 통한 생산성 향상 및 작업 공수 감소에 따른 원가 절감률의 차이를 비교 분석하였다. 그 결과 제조 실행 시스템 도입으로 인해 생산 업무 생산성이 7.0% 향상되었고, 제품 불량률은 0.1%p 개선되었다. 제조원가 절감은 10.0%, 납기 준수율은 1.1% 개선되었음을 확인하였다. 추후 본 연구에서 제안한 제조 실행 시스템을 기반으로 추가적인 스마트팩토리 기술을 적용하는 경우 PQCD 지표의 상승으로 인한 가공 산업의 매출 및 이익 증대가 예상된다.

Keywords

Acknowledgement

This work was supported by the Korea Environmental Industry & Technology Institute(KEITI) funded by the Ministry of Environment(MOE) (Training DX-based carbon supply network environmental experts). This work was supported by the Korea Institute of Energy Technology Evaluation and Planning(KETEP) and the Ministry of Trade, Industry & Energy(MOTIE) of the Republic of Korea (No. 20224000000200).

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