Optimization of Spare Parts Varieties Based on Stochastic DEA Model
- 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
附件：
4-2018-SCI-四作-Q1-IF3.557-Optimization of Spare Parts Varieties Based on Stochastic DEA Model.pdf
