[ Special Issue : Smart Manufacturing Innovation based on FOMs ]

Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 31, No. 3, pp.216-223

ISSN: 2508-5107 (Online)

Print publication date 15 Jun 2022

Received 16 May 2022 Revised 08 Jun 2022 Accepted 09 Jun 2022

DOI: https://doi.org/10.7735/ksmte.2022.31.3.216

FOM Solution을 활용한 제조공정 데이터의 신뢰도 향상

장재훈^a ; 김상락^b ; 김재하^a ; 배병성^a ; 김수영^a^{, *}

Improved Reliability of Manufacturing Process Data Using FOMs(smart-Factory Operation Management) Solution

Jae Hoon Jang^a ; Sang Rak Kim^b ; Jae Ha Kim^a ; Byung Seong Bae^a ; Su Young Kim^a^{, *}

aDepartment of AI Smart Factory Convergence Engineering, Hoseo University
bResearch Fellow in Innovation Growth Research Division, Ulsan Research Institute

Correspondence to: ^*Tel.: +82-070-8600-5336 E-mail address: df2030@hoseo.edu (Su Young Kim).

Abstract

Many small- and medium-sized enterprises in Korea are introducing smart factories to maintain competitiveness. The smart factory collects and monitors production process and equipment data in real time. When an abnormality occurs, the smart factory can immediately identify the problem, minimizing equipment downtime and product defect and increasing corporate profits. In this study, 4M (human, machine, material, method) data, a key element of manufacturing, was collected and analyzed to build a smart factory, and the reliability of the collected data was very high. The reliability of the data was verified using the factory operation management solution and improved through on-site customized training. The data for the manufacturing site were collected, applied, and verified from small and medium-sized enterprises that manufacture automobile parts.

Keywords:

FOM(smart-factory operation management), Data reliability, MI-NPS(mata intelligent new production system), PBL(project based learning/consulting), POP(point of production), MES(manufacturing execution system)

Acknowledgments

이 연구는 중소벤처기업부 ‘중소기업연구인력지원사업’의 재원으로 한국산학연협회(AURI)의 지원을 받아 수행된 연구임. (2022년 기업연계형연구개발인력양성사업, 과제번호: S3282285).

References

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Jae Hoon Jang

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: fomsre@naver.com

Sang Rak Kim

Research Fellow in Innovation Growth Research Division, Ulsan Research Institute. His research interest is a innovation based on emerging technologies in the Manufacturing.

E-mail: shem0304@uri.re.kr

Jae Ha Kim

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: say36992@naver.com

Byung Seong Bae

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

Su Young Kim

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