Title :
An early-warning model for supply chain risk based on the balanced scoring card and BP neural networks
Author :
Qinghua, Wang ; Xiaozhong, Xiong ; Wenhao, Tian ; Liang, He
Author_Institution :
Dept. of Public Procurement & Logistics, Wuhan Inst. of Econ., Wuhan
Abstract :
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 early-warning model for supply chain risk is constructed using BP neural networks. Animation is conducted with Matlab finally.
Keywords :
backpropagation; neural nets; production engineering computing; risk management; supply chain management; BP neural networks; Matlab; animation; balanced scoring card; early-warning model; supply chain risk; Animation; Automation; Crisis management; Finance; Logistics; Mathematical model; Neural networks; Risk analysis; Statistical analysis; Supply chains; BP neural network; SC; balanced scorecard; early-warning;
Conference_Titel :
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-2502-0
Electronic_ISBN :
978-1-4244-2503-7
DOI :
10.1109/ICAL.2008.4636296
