[ Special Issue : Smart Manufacturing Innovation based on FOMs ]

Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 31, No. 4, pp.288-295

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

김순철^a ; 조민수^a ; 이영철^a ; 김수영^a^{, *}

FOMs-Based Smart Manufacturing Innovation Methodology: Based on OKR Techniques

Soon Cheol Kim^a ; Min Soo Cho^a ; Young Chul Lee^a ; Su Young Kim^a^{, *}

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).

Abstract

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

Acknowledgments

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

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Soon Cheol 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: ksc7975@naver.com

Min Soo Cho

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

Young Chul Lee

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

Su Young Kim

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