Multi-objective Chance Constrained Programming of Spare Parts Based on Uncertainty Theory
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发表刊物:IEEE Access
关键字:Genetic algorithm ; multi-objective chance planning ; spare parts ; uncertainty theory
摘要:Theoptimizationofsparepartsinventoryisveryimportantinthemodernaerospaceengineering system, especially in the environment with low management effectiveness and a wide variety of spare parts. At present, there are many optimization models for spare parts inventory, and the single-objective optimization inventory is mostly used. But the single-objective optimization model has some limitations. First, in the applications of practical engineering, a single-goal decision problem is generally rare, and most ofthedecisionswehaveexperiencedinvolvemanycomplicatedgoals.Second,itisdifficulttotrulypresent
合写作者:魏昆仑,王嗣鑫
第一作者:杨懿
论文类型:开发研究
通讯作者:康锐
一级学科:控制科学与工程
文献类型:期刊
卷号:6
页面范围:50049-50054
ISSN号:21693536
是否译文:否
CN号:null
发表时间:2018-08-01
收录刊物:SCI
发布期刊链接:
https://doi.org/10.1109/ACCESS.2018.2860252