TY - GEN
T1 - Node Risk Propagation Capability Modeling of Supply Chain Network based on Structural Attributes
AU - Yi, Weiming
AU - Dong, Peiwu
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery
PY - 2018/8/2
Y1 - 2018/8/2
N2 - This paper firstly defines the importance index of several types of nodes from the local and global attributes of the supply chain network, analyzes the propagation effect of the nodes after the risk is generated from the perspective of the network topology, and forms multidimensional structural attributes that describe node risk propagation capabilities of the supply chain network. Then the indicators of the structure attributes of the supply chain network are simplified based on PCA (Principal Component Analysis). Finally, a risk assessment model of node risk propagation is constructed using BP neural network. This paper also takes 4G smart phone industry chain data as an example to verify the validity of the proposed model.
AB - This paper firstly defines the importance index of several types of nodes from the local and global attributes of the supply chain network, analyzes the propagation effect of the nodes after the risk is generated from the perspective of the network topology, and forms multidimensional structural attributes that describe node risk propagation capabilities of the supply chain network. Then the indicators of the structure attributes of the supply chain network are simplified based on PCA (Principal Component Analysis). Finally, a risk assessment model of node risk propagation is constructed using BP neural network. This paper also takes 4G smart phone industry chain data as an example to verify the validity of the proposed model.
KW - BP neural network
KW - Node Risk Propagation Capability
KW - PCA
KW - Structural Attributes
KW - Supply Chain Network
UR - http://www.scopus.com/inward/record.url?scp=85056757760&partnerID=8YFLogxK
U2 - 10.1145/3271972.3271973
DO - 10.1145/3271972.3271973
M3 - Conference contribution
AN - SCOPUS:85056757760
T3 - ACM International Conference Proceeding Series
SP - 50
EP - 54
BT - Proceedings of 2018 9th International Conference on E-business, Management and Economics, ICEME 2018
PB - Association for Computing Machinery
T2 - 9th International Conference on E-business, Management and Economics, ICEME 2018
Y2 - 2 August 2018 through 4 August 2018
ER -