Node Risk Propagation Capability Modeling of Supply Chain Network based on Structural Attributes

Weiming Yi; Peiwu Dong

doi:10.1145/3271972.3271973

Node Risk Propagation Capability Modeling of Supply Chain Network based on Structural Attributes

Weiming Yi, Peiwu Dong

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Proceedings of 2018 9th International Conference on E-business, Management and Economics, ICEME 2018
Publisher	Association for Computing Machinery
Pages	50-54
Number of pages	5
ISBN (Electronic)	9781450365147
DOIs	https://doi.org/10.1145/3271972.3271973
Publication status	Published - 2 Aug 2018
Event	9th International Conference on E-business, Management and Economics, ICEME 2018 - Waterloo, Canada Duration: 2 Aug 2018 → 4 Aug 2018

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	9th International Conference on E-business, Management and Economics, ICEME 2018
Country/Territory	Canada
City	Waterloo
Period	2/08/18 → 4/08/18

Keywords

BP neural network
Node Risk Propagation Capability
PCA
Structural Attributes
Supply Chain Network

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10.1145/3271972.3271973

Cite this

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title = "Node Risk Propagation Capability Modeling of Supply Chain Network based on Structural Attributes",

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.",

keywords = "BP neural network, Node Risk Propagation Capability, PCA, Structural Attributes, Supply Chain Network",

author = "Weiming Yi and Peiwu Dong",

note = "Publisher Copyright: {\textcopyright} 2018 Association for Computing Machinery; 9th International Conference on E-business, Management and Economics, ICEME 2018 ; Conference date: 02-08-2018 Through 04-08-2018",

year = "2018",

month = aug,

day = "2",

doi = "10.1145/3271972.3271973",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "50--54",

booktitle = "Proceedings of 2018 9th International Conference on E-business, Management and Economics, ICEME 2018",

}

Yi, W & Dong, P 2018, Node Risk Propagation Capability Modeling of Supply Chain Network based on Structural Attributes. in Proceedings of 2018 9th International Conference on E-business, Management and Economics, ICEME 2018. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 50-54, 9th International Conference on E-business, Management and Economics, ICEME 2018, Waterloo, Canada, 2/08/18. https://doi.org/10.1145/3271972.3271973

Node Risk Propagation Capability Modeling of Supply Chain Network based on Structural Attributes. / Yi, Weiming; Dong, Peiwu.
Proceedings of 2018 9th International Conference on E-business, Management and Economics, ICEME 2018. Association for Computing Machinery, 2018. p. 50-54 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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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

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T2 - 9th International Conference on E-business, Management and Economics, ICEME 2018

Y2 - 2 August 2018 through 4 August 2018

ER -

Node Risk Propagation Capability Modeling of Supply Chain Network based on Structural Attributes

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