期刊文献+

基于因果贝叶斯网络的风险建模与分析 被引量:2

Risk Modeling and Analysis Based on Causal Bayesian Network: A Case Study
下载PDF
导出
摘要 为验证基于因果贝叶斯网络的风险建模与分析(CBN-based RMA)的有效性,引入4种常见模式简化该方法的结构建模,以降低随后参数建模中专家判断工作量,然后将该改进方法应用于巴基斯坦NEELUM-JHELUM水电站隧洞掘进工程风险分析中,有效控制了项目施工风险,获得远超预期的盈利。该案例应用结果表明,改进的CBN-based RMA方法具有很强的可操作性,可显著提高工程风险管理效率。 In order to validate the CBN-based RMA method proposed in articleElI , four common patterns are first introduced to simplify the structure modeling of the method, which will reduce the effort of experts' judgement in subsequent parameter modeling, and then the improved method is applied in risk analysis of Neelum-Jhelum hydropower station tunneling project in Pakistan. As a result, the contractors control effec- tively the project risks and obtain much more revenue than expected. This case shows that improved CBN- based RMA method has easy operability and will significantly enhance the efficiency of engineering risk management.
出处 《工业工程》 2016年第5期121-127,共7页 Industrial Engineering Journal
基金 国家自然科学基金资助项目(71271014)
关键词 工程风险管理 因果贝叶斯网络 隧洞工程 engineering risk management causal Bayesian network tunneling project
  • 相关文献

参考文献2

二级参考文献30

共引文献18

同被引文献22

引证文献2

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部