[ Article ]

Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 32, No. 5, pp.297-307

ISSN: 2508-5107 (Online)

Print publication date 15 Oct 2023

Received 04 Jul 2023 Revised 23 Aug 2023 Accepted 19 Sep 2023

DOI: https://doi.org/10.7735/ksmte.2023.32.5.297

중소 식품 제조기업에 대한 FOM-BI와 CPS를 활용한 프로세스 구축 방법론 연구

양해성^a ; 권정태^b ; 김수영^a^{, *}

Study on the Process Establishment Using FOM-BI and CPS for a Small and Medium-sized Food Manufacturing Company

Hae Sung Yang^a ; Jeong Tae Kwon^b ; Su Young Kim^a^{, *}

aDepartment of AI Smart Factory Convergence Engineering, Hoseo University
bDivision of Mechanical and Automotive Engineering, Hoseo University

Correspondence to: ^*Tel.: +82-70-8600-5336 E-mail address: df2030@hoseo.edu (Su Young Kim).

Abstract

As innovative products and services are rapidly created in the era of the Fourth industrial revolution, and the convergence of digital and analog accelerates, smart manufacturing operation management is required to respond to a rapidly changing business environment, and FOM-BI, a low-cost and customized platform, can be an alternative. CPS simulations were conducted and verified for small and medium-sized food manufacturers, focusing on improvements made through FOM and VSM analysis. Optimal solutions were found to improve the non-value-added process, and productivity improvement measures were derived. The KPI visualization dashboard made it possible to detect problems in real time and make data-based decisions. Leveraging the FOM-BI platform will contribute to enhanced corporate performance and competitiveness by establishing a smart manufacturing company.

Keywords:

FOM(smart-factory operation management), VSM(value stream mapping), CPS(cyber physical system), Smart factory, Process

Acknowledgments

이 논문은 중소벤처기업부 ‘중소기업연구인력지원사업’의 재원으로 한국 산학엽협회(URI)의 지원을 받아 수행된 연구임. (2023년 기업 연계형 연구개발인력양성사업, 과제번호: RS-2023-00259258).

이 연구는 산업통상자원부 ‘스마트 제조 고급인력양성사업’의 재원으로 한국산업단지공단의 지원을 받아 수행된 연구임(2023년 2차 연도 사업, 과제번호: 2023-90-007)

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Hae Sung Yang

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: stonyang@naver.com

Jeong Tae Kwon

Professor in Division of Mechanical and Automotive Engineering, Hoseo University. His research interest is Application of Renewable Hydrogen Energy.

E-mail: jtkwon@hoseo.edu

Su Young Kim

Professor in Department of Smart Factory for Materials-Parts-Equipment, Hoseo University. His research interest is applications of FOMs (smart-Factory Operation Managements).

E-mail: df2030@hoseo.edu