인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
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.
초록·키워드
This paper presents a new approach to optimizing the operation of the green tire storage system in a tire factory. The tire building and curing processes are crucial to tire production yields, and they are executed according to a production schedule from the Manufacturing Execution System (MES). The green tire storage system is located in between these processes and acts as a buffer to manage production fluctuations. The proposed operation rules for the green tire storage system monitor real-time manufacturing and storage status, alerting the building process to adjust product type as necessary. Through discrete event simulations, the performance of these proposed operation rules is evaluated and compared with existing methods. The tire factory simulation models were formulated using the C-DEVS (Conditional-DEVS) formalism and have been implemented. The experimental results demonstrate that the proposed algorithm improves production yields by mitigating green tire starvation and blocking issues.
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.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2023-530-001562402