An Early-Warning Model For Supply Chain Risk Based On The Balanced Scoring Card And BP Neural Networks

被引：1
|
作者：
Wang Qinghua [1 ]
Xiong Xiaozhong [1 ]
Tian Wenhao [1 ]
He Liang [1 ]
机构：
[1] Wuhan Inst Econ, Dept Publ Procurement & Logist, Wuhan 430035, Peoples R China
来源：
2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6 | 2008年
关键词：
SC; early-warning; balanced scorecard; BP neural network;
D O I：
10.1109/ICAL.2008.4636296
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The study of early-warning for supply chain risk has become a vital area as the termination events of supply chain occur frequently, and serious sequences are resulted. In the paper, an early-warning criteria system is established, from the perspectives of supply chain process, finance, customer, learning and development, based on the balanced scoring card. Then an eady-warning model for supply chain risk is constructed using BP neural networks. Animation is conducted with Matlab finally.
引用
收藏
页码：997 / 1000
页数：4
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