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.
논문 기본 정보
- 저자정보
피인용 0
초록·키워드
The management of physical assets has become a popular field of study over recent years and is being acknowledged in multiple disciplines worldwide. In this project, research on Physical Asset Management (PAM), maintenance and decision making are presented. PAM is a complex subject and requires the participation of multiple disciplines in order to successfully manage physical assets. Moreover, the management of maintenance makes a big contribution in achieving successful PAM. Decision making is a core element to manage maintenance efficiently. Various methods and techniques can be used to aid the decision making process such as, using decision-making methods. In this project, the importance of decision making is researched, especially in maintenance related decisions. The purpose of this research is to select the best maintenance strategy in conditions of uncertainty using the hybrid decision methods including AHP-GRAY, TOPSIS-GRAY, WASPAS-G, MULTIMOORA-G, COPRAS-G, ARAS-G and EDAS-G. It is done in three phases. The first phase uses the AHP-GRAY method and identifies a critical asset, for the second phase, three WASPAS-G, MULTIMOORA-G, and EDAS-G techniques that prioritize identifiable assets. In the third step, the most optimal Maintenance strategy for each of the failure modes was performed using three techniques TOPSIS-G, COPRAS-G, ARAS-G. An evaluation and validation of the toolbox is done through the case study to conclude whether it has value in practice or not.
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) : I410-151-24-02-088526278
