Journal:IEEE Access

Key Words:Uncertain environment; spare parts; optimization; stochastic; data envelopment analysis

Abstract: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

Co-author:Zu Tianpei,Guo Miaomiao,Cissy Yang

First Author:wenmeilin

Indexed by:Development research

Correspondence Author:Rui Kang

Document Code:000432574000001

First-Level Discipline:Control Science and Engineering

Document Type:J

Volume:6

Issue:99

Page Number:22174-22183

ISSN No.:21693536

Translation or Not:no

CN No.:null

Date of Publication:2018-04-28

Included Journals:SCI

Links to published journals:https://doi-org-443.e.buaa.edu.cn/10.1109/ACCESS.2018.2829480

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