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한국생산제조학회 학술지 영문 홈페이지
[ Article ]
Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 33, No. 5, pp.214-220
ISSN: 2508-5107 (Online)
Print publication date 15 Oct 2024
Received 19 Aug 2024 Revised 03 Oct 2024 Accepted 08 Oct 2024
DOI: https://doi.org/10.7735/ksmte.2024.33.5.214

FOM 기반 PCB 생산 공장의 KPI 향상을 위한 What-IF 시뮬레이션 모델 개발 및 적용에 관한 연구

최성우a, *
A Study on the Development and Application of a FOM-based What-If Simulation Model to Improve KPIs of PCB Production Plant
Seong-Woo Choia, *
aDepartment of Business Administration, College of Software Management, Kyonggi University

Correspondence to: *Tel.: +82-31-249-9249 E-mail address: swchoi@kyonggi.ac.kr (Seong-Woo Choi).

Abstract

This study aims to improve the KPIs of manufacturing plants by benchmarking an FOM model. This involves designing a scheduling algorithm for the shop floor; developing and testing a simulation model that reflects information such as equipment, orders, and process times identical to those of the factory; and selecting a scheduling algorithm that is appropriate for the factory. To this end, we designed the architecture (framework) of the information exchange and performance evaluation process between the MES, what-if simulator, production operation information, KPI, rule tuning, and advanced planning and scheduling (APS), targeting factories of domestic PCB manufacturers. Consequently, several scheduling methodologies were found, which improved the KPIs (lead time, tardiness, equipment utilization, and productivity) compared to the scheduling methodologies currently used in the process.

Keywords:

FOM(smart-factory operation management), What-If simulator, KPI(key performance indicator), Scheduling

Acknowledgments

본 연구는 2024학년도 경기대학교 학술연구비(일반연구과제) 지원에 의하여 수행되었음. This work was supported by Kyonggi University Research Grant 2024.

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Seong-Woo Choi

Professor in the Department of Business Administration, Kyonggi University. His research interest is Production Management.He has experience in Charge of Production Management Automation System Development at an Wafer FAB Line of Samsung Electronics' Semiconductor Division.

E-mail: swchoi@kyonggi.ac.kr