인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
This study aims to improve productivity by analyzing manufacturing-process data and deriving problems using a FOM system. Additionally, an accurate demandforecast production plan is established to increase manufacturing competitiveness. As a case study, MES data are analyzed using an FOM assistant for Company I, which is an automobile parts manufacturer, and the correlation among man, machine, material, and method is identified. The production plan fluctuated significantly and the productivity declined owing to the inactivity time (equipment waiting, mold setting, etc.). The method of converting to external preparation by dividing internal and external preparations, standardizing the mold setup, and using data is presented.
In addition, the importance and evaluation method of establishing a high-accuracy production plan were presented, and the introduction of APS was proposed to increase the accuracy of the production plan by predicting, revising, and supplementing demand by period, customer, and product through accumulated data analysis.
In addition, the importance and evaluation method of establishing a high-accuracy production plan were presented, and the introduction of APS was proposed to increase the accuracy of the production plan by predicting, revising, and supplementing demand by period, customer, and product through accumulated data analysis.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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