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[ Special Issue : Smart Manufacturing Innovation based on FOMs ] | |
Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 31, No. 4, pp. 288-295 | |
Abbreviation: J. Korean Soc. Manuf. Technol. Eng. | |
ISSN: 2508-5107 (Online) | |
Print publication date 15 Aug 2022 | |
Received 17 May 2022 Revised 15 Jun 2022 Accepted 22 Jun 2022 | |
DOI: https://doi.org/10.7735/ksmte.2022.31.4.288 | |
FOMs 기반 스마트 제조혁신 추진 방법론 : OKR 기법 기반으로 | |
FOMs-Based Smart Manufacturing Innovation Methodology: Based on OKR Techniques | |
aDepartment of AI Smart Factory Convergence Engineering, Hoseo University | |
Correspondence to : *Tel.: +82-2-452-5336 E-mail address: df2030@hoseo.edu (Su Young Kim). | |
Funding Information ▼ |
Changes in manufacturing sites triggered by the fourth Industrial Revolution are inadequate from the perspective of SMEs. The construction of 30,000 smart factories can be achieved quantitatively, but it is necessary to upgrade data-based smart factories. However, SMEs lack manpower and are managed manually by Excel. Therefore, difficulties in systematic goal establishment and manufacturing innovation activities can be solved through smart-factory operation management (FOMs)-based smart manufacturing innovation methodology. Three differences in above technology can be ascribed from the existing innovation methodology. Firstly, there is systematization of goal establishment by objective & key results (OKR). Secondly, change in management of 4M (man, machine, material, method) occurs through a multidimensional analysis by FOMs system. Thirdly, it is improving its level with continuous execution and feedback. The objective is to align with the goals of the manufacturing company to focus on them and quickly track them to challenge them.
Keywords: FOM(smart-factory operation management), OKR(objective & key results), Smart factory, Manufacturing innovation |
이 연구는 중소벤처기업부 ‘중소기업연구인력지원사업’의 재원으로 한국산학엽협회(AURI)의 지원을 받아 수행된 연구임. (2022년 기업연계형 연구개발인력양성사업, 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: ksc7975@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: minsucho99@ardorworx.co.kr
Professor in Department of AI Smart Factory Convergence Engineering, Hoseo University. His research interest is applications of FOMs (smart-Factory Operation Management) with AI.
E-mail: yclee@hoseo.edu
Professor in Department of AI Smart Factory Convergence Engineering, Hoseo University. His research interest is applications of FOMs (smart-Factory Operation Management) with AI.
E-mail: df2030@hoseo.edu