메뉴 건너뛰기
소속 기관 / 학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
고객센터 ENG
주제분류

논문 기본 정보

저자정보
(Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology) (Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology) (China Nuclear Power Engineering Co., Ltd)
저널정보
한국원자력학회 Nuclear Engineering and Technology Nuclear Engineering and Technology Vol.58 No.3
오류 신고하기

피인용 0

검색

    초록·키워드

    Digital construction has profoundly transformed the quality management process throughout the full lifecycle (design, procurement, construction, and commissioning) in nuclear power equipment manufacturing, with quality value factors across stages containing complex interdependencies. To address this challenge, this study proposes a grey-DEMATEL based collaborative quality value network model to capture the dynamic characteristics of the quality value chain, incorporating a time decay parameter to quantify evolving factor relationships. First, quality value influencing factors in nuclear power equipment digital collaborative manufacturing are identified through expert questionnaire. Based on it, a comprehensive framework of collaborative quality value chain is established using complex network theory, where nodes and their correlations are defined. Next, the grey-DEMATEL method is applied to analyze the significance and causal relationships among key quality value factors, addressing uncertainty in expert judgments and supporting data-driven decisions. Finally, a dynamic quality value growth curve is derived based on the proposed model, and the framework’s efficacy is validated through a case study of a reactor pressure vessel support ring, culminating in targeted quality management strategies. This research provides a novel approach for lifecycle quality management of nuclear power equipment in intelligent construction environments

    최근 본 자료 전체보기