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.
초록·키워드
As a key component of a circular economy, remanufacturing is gaining popularity across various sectors. This paper focuses on the wind energy sector, a major player in renewable technologies, which is gradually recognizing its increasing resource-intensive material usage. We present a case study outlining a method for selecting parts from an industrial supply chain partner’s inventory. This strategy is further employed to streamline the manufacturing processes for the chosen part. We utilized the Weighted Sum method, a multi-criteria decision-making strategy, in both instances. We discuss how expertise of process specialists and multi-criteria decision-making techniques could be synthesised for adopting a remanufacturing approach. Data from the commercial partners was collected and any identifying information was stripped. From this, we discovered that the Yaw gear pinion shaft is the top candidate for remanufacturing due to its high commercial value. After comparing various additive manufacturing technologies, Arc Directed Energy Deposition stands out as the best fit for remanufacturing this particular pinion shaft. Although our initial aim was to consider additive manufacturing technologies as solutions for remanufacturing, we show how even conventional manufacturing processes, such as friction welding, could emerge as strong contenders.
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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