A Comprehensive Model Based on ANN and ES for Supply Chain Risk Evaluation

摘要：

The model integrates prediction and evaluation of supply chain risk, dynamic learning of supply chain risk knowledge, and analyzing of evaluation ability. Verification by using real case data shows that the precision of the model is high, the method is easy, quick, and effective in supply chain risk evaluation.

关键词： supply chain risk management expert system artificial neural network supply chain risk evaluation

作者: CHEN Yingxin

作者单位: School of Economics and Management,Harbin Engineering University,Heilongjiang Harbin 150001,China

会议类型: 国际会议

会议名称: 2008 International Conference on Risk and Relianility Management(2008风险与可靠性管理国际会议)

会议地点: 北京

会议语种:英文

页码: 331-334

在线出版日期: 2008-11-10（万方平台首次上网日期，不代表论文的发表时间）