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[ Special Issue : Smart Manufacturing Innovation based on FOMs ] | |
Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 31, No. 3, pp. 211-215 | |
Abbreviation: J. Korean Soc. Manuf. Technol. Eng. | |
ISSN: 2508-5107 (Online) | |
Print publication date 15 Jun 2022 | |
Received 14 May 2022 Revised 08 Jun 2022 Accepted 09 Jun 2022 | |
DOI: https://doi.org/10.7735/ksmte.2022.31.3.211 | |
4M 데이터 기반 FOM분석을 통한 대형 진공 챔버 가공공정의 리드타임 단축 | |
Lead-Time Reduction of Machining Process Using FOM Analysis Based on 4M Data of Large Vacuum Chamber | |
aDepartment of AI Smart Factory Convergence Engineering, Hoseo University | |
Correspondence to : *Tel.: +82-41-540-9960 E-mail address: df2030@hoseo.edu (Su Young Kim). | |
Funding Information ▼ |
Digital transformation of small- and medium-sized enterprises is required to improve quality and productivity by collection and analysis of manufacturing data, and satisfaction of delivery dates for competitiveness. For example, a smart-factory operation management solution was performed by analyzing data to reduce the lead time for each process and efficiently operate facilities in manufacturing a small made-to-order large vacuum chamber. For each factor, the non-operation time , and an improvement effect was predicted. Thus, many companies that manufacture a small quantity can achieve process optimization of made-to-order product and develop a foundation for smart factory operations and productivity improvements based on data.
Keywords: FOM(smart-factory operation management), 4M data analysis, Lead-time, Machining innovation, Vacuum chamber |
이 성과물은 중소벤처기업부 ‘중소기업연구인력지원사업’의 재원으로 한국산학엽협회(AURI)의 지원을 받아 수행된 연구임. (2022년 기업연계형연구개발인력양성사업, 과제번호: S3282285)
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Graduate student in Department of AI Smart Factory Convergence Engineering, Hoseo University. His research interest is FOM (smart-Factory Operation Management) with AI.
E-mail: leenameun00@naver.com
Graduate student in Department of AI Smart Factory Convergence Engineering, Hoseo University. His research interest is FOM (smart-Factory Operation Management) with AI.
E-mail: sangsoh@naver.com
Professor in Department of AI Smart Factory Convergence Engineering, Hoseo University. His research interest is FOM (smart-Factory Operation Management) in Display and Semiconductor Field.
E-mail: bsbae3@hoseo.edu
Professor in Department of AI Smart Factory Convergence Engineering, Hoseo University. His research interest is applications of FOMs (smart-Factory Operation Managements).
E-mail: df2030@hoseo.edu