Journal:Journal of Intelligent & Fuzzy Systems

Key Words:spares varieties; uncertain systems; optimization; data envelopment analysis

Abstract: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

Co-author:Chen Yubing,康锐,Guo Miaomiao

First Author:文美林

Indexed by:Development research

Correspondence Author:杨懿

Document Code:000519701400084

First-Level Discipline:Control Science and Engineering

Document Type:J

Volume:38

Issue:3

Page Number:3489-3499

ISSN No.:10641246

Translation or Not:no

CN No.:null

Date of Publication:2020-03-04

Included Journals:SCI

Links to published journals:https://content-iospress-com-s.vpn.buaa.edu.cn:8118/articles/journal-of-intelligent-and-fuzzy-systems/ifs190838

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