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发表刊物：Journal of Intelligent & Fuzzy Systems
关键字：spares varieties; uncertain systems; optimization; data envelopment analysis
摘要：Stocking strategy for spare parts has a pivotal influence on the productivity and efficiency of industrial plants. Considering the situation of lacking historical statistics causing by uncertainty, this paper proposes a method to optimize spares varieties based on uncertainty theory and uncertain data envelopment analysis (DEA) model. Firstly, a recursive hierarchy structure is established to construct an evaluation system to meet the requirement of avoiding attributes' redundancy. Then, an uncertain spares optimization model (USOM), which is based on uncertain DEA model, is developed to optim
合写作者：Chen Yubing,康锐,Guo Miaomiao
第一作者：文美林
论文类型：开发研究
通讯作者：杨懿
论文编号：000519701400084
一级学科：控制科学与工程
文献类型：期刊
卷号：38
期号：3
页面范围：3489-3499
ISSN号：10641246
是否译文：否
CN号：null
发表时间：2020-03-04
收录刊物：SCI
发布期刊链接：https://content-iospress-com-s.vpn.buaa.edu.cn:8118/articles/journal-of-intelligent-and-fuzzy-systems/ifs190838