Reliability analysis of cold-chain logistics system based on fault Bayesian networks

被引：0
|
作者：
Guo, Qian [1 ,2 ]
Pu, Yun [2 ]
Zheng, Bin [1 ]
机构：
[1] Department of Traffic and Transportation, Southwest Jiaotong University, Emei,614202, China
[2] School of Transportation and Logistics, Southwest Jiaotong University, Chengdu,610031, China
来源：
Kongzhi yu Juece/Control and Decision | 2015年 / 30卷 / 05期
关键词：
Bayesian networks;
D O I：
10.13195/j.kzyjc.2014.0184
中图分类号：
学科分类号：
摘要：
By borrowing ideas from the reliability analysis in reliability engineering theory, the abstract problem of coldchain logistics system fault is crystallized and its fault tree is constructed according to operation features of various functional parts and the causal relationship between events in cold-chain logistics system. By converting fault tree to Bayesian networks, it is convenient to draw a comprehensive evaluation for the system reliability of cold-chain logistics system and reveal the main cause of system failure, in order to provide quantitative foundation for improving system reliability. In a third party cold-chain logistics enterprise, expected results are obtained by applying the proposed method. ©, 2015, Northeast University. All right reserved.
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收藏
页码：911 / 916
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