基于故障贝叶斯网的冷链物流系统可靠性分析
CSTR:
作者:
作者单位:

1. 西南交通大学交通运输系,四川峨眉614202;
2. 西南交通大学交通运输与物流学院,成都610031.

作者简介:

郭茜

通讯作者:

中图分类号:

F237.7

基金项目:

国家自然科学基金项目(51278429);中央高校基本科研业务费专项资金项目(10501B10096015);西南交通大学峨眉校区高层次人才科研专项支持经费项目(10501X10096013).


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

1. Department of Traffic and Transportation,Southwest Jiaotong University,Emei 614202,China;
2. School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,China.

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    借鉴可靠性工程理论中系统可靠性的分析方法, 将冷链物流系统运行故障这一抽象问题具体化处理, 根据系统中各功能环节的运行特点及事件之间的因果关系, 构建冷链物流系统的系统失效故障树; 在此基础上生成贝叶斯网络, 以综合评估冷链物流系统的运行可靠性, 揭示系统故障产生的主要原因, 为改进冷链物流系统的运行可靠性提供定量依据. 将所提出方法用于某第三方冷链物流企业的运作管理中, 取得了预期效果.

    Abstract:

    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.

    参考文献
    相似文献
    引证文献
引用本文

郭茜 蒲云 郑斌.基于故障贝叶斯网的冷链物流系统可靠性分析[J].控制与决策,2015,30(5):911-916

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2014-02-15
  • 最后修改日期:2014-09-04
  • 录用日期:
  • 在线发布日期: 2015-05-20
  • 出版日期:
文章二维码