| Title | Node Risk Propagation Capability Modeling of Supply Chain Network Based on Structural Attributes |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Yi, Weiming, Dong, Peiwu, Wang, Jing |
| Conference Name | Proceedings of the 2018 9th International Conference on E-business, Management and Economics |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-6514-7 |
| Keywords | BP Neural Network, Metrics, Node Risk Propagation Capability, PCA, pubcrawl, Structural Attributes, supply chain network, Supply Chain Risk Assesment |
| Abstract | 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. |
| URL | http://doi.acm.org/10.1145/3271972.3271973 |
| DOI | 10.1145/3271972.3271973 |
| Citation Key | yi_node_2018 |
Node Risk Propagation Capability Modeling of Supply Chain Network Based on Structural Attributes