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发表刊物：IEEE Access
关键字：Uncertain environment; spare parts; optimization; stochastic; data envelopment analysis
摘要：Accurate inventory management starts with the scientific and rational classification of numerous varieties of spare parts. This paper presents a stochastic data envelopment analysis (DEA) model to address the problem of optimization of spares varieties under uncertainty. An index system is proposed in terms of product life-cycle process, which contains five design indexes, four operation indexes and five support indexes. Then, the quantification method of the index system is briefly discussed in preparation for mathematical calculation. A stochastic spares optimization model (SSOM) is proposed
合写作者：Zu Tianpei,Guo Miaomiao,杨懿
第一作者：文美林
论文类型：开发研究
通讯作者：康锐
论文编号：000432574000001
一级学科：控制科学与工程
文献类型：期刊
卷号：6
期号：99
页面范围：22174-22183
ISSN号：21693536
是否译文：否
CN号：null
发表时间：2018-04-28
收录刊物：SCI
发布期刊链接：https://doi-org-443.e.buaa.edu.cn/10.1109/ACCESS.2018.2829480