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학술논문한국생산제조학회지2022.06 발행KCI 피인용 1

4M 데이터 기반 FOM분석을 통한 대형 진공 챔버 가공공정의 리드타임 단축

Lead-Time Reduction of Machining Process Using FOM Analysis Based on 4M Data of Large Vacuum Chamber

이남은(호서대학교); 오상석(호서대학교); 배병성(호서대학교); 김수영(호서대학교)

31권 3호, 211~215쪽

초록

Digital transformation of small- and medium-sized enterprises is required to improve quality and productivity by collection and analysis of manufacturing data, and satisfaction of delivery dates for competitiveness. For example, a smart-factory operation management solution was performed by analyzing data to reduce the lead time for each process and efficiently operate facilities in manufacturing a small made-to-order large vacuum chamber. For each factor, the non-operation time , and an improvement effect was predicted. Thus, many companies that manufacture a small quantity can achieve process optimization of made-to-order product and develop a foundation for smart factory operations and productivity improvements based on data.

Abstract

Digital transformation of small- and medium-sized enterprises is required to improve quality and productivity by collection and analysis of manufacturing data, and satisfaction of delivery dates for competitiveness. For example, a smart-factory operation management solution was performed by analyzing data to reduce the lead time for each process and efficiently operate facilities in manufacturing a small made-to-order large vacuum chamber. For each factor, the non-operation time , and an improvement effect was predicted. Thus, many companies that manufacture a small quantity can achieve process optimization of made-to-order product and develop a foundation for smart factory operations and productivity improvements based on data.

발행기관:
한국생산제조학회
분류:
기계공학

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4M 데이터 기반 FOM분석을 통한 대형 진공 챔버 가공공정의 리드타임 단축 | 한국생산제조학회지 2022 | AskLaw | 애스크로 AI