Empirical Research on Vulnerability Assessment of Supply Chain Network Based on Cascading Effect[ This work was financially supported by the National Natural Science Foundation of China (71401156) and Zhejiang Xinmiao Talents Scheme(2015R408037). Tinggui Chen is the corresponding autor.]

DOI

10.2991/icsma-16.2016.104How to use a DOI?

Keywords

supply chain network; cascading effect; vulnerability; importance of nodes.

Abstract

The growing complexity of the supply chain brings benefits as well as vulnerability. The research on the reasons of vulnerability of the supply chain and the evaluation method is the premise of implementing effective management measures. Based on cascading effect, complex network theory is applied to model the supply chain network and evaluate the importance of supply chain node enterprises. For an important node, its failure will cause great cascading effect to damage the supply chain, which reveals the vulnerability of the supply chain network. In this paper, the empirical analysis shows that this method can accurately identify the visible critical nodes, and it is also able to find hidden important nodes, which helps offer guidance for the protection of node enterprises, thus to reduce the vulnerability of supply chain.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qingte Zhou
AU  - Liuxiao Yang
AU  - Yiyi Shi
AU  - Tinggui Chen
PY  - 2016/12
DA  - 2016/12
TI  - Empirical Research on Vulnerability Assessment of Supply Chain Network Based on Cascading Effect[ This work was financially supported by the National Natural Science Foundation of China (71401156) and Zhejiang Xinmiao Talents Scheme(2015R408037). Tinggui Chen is the corresponding autor.]
BT  - Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)
PB  - Atlantis Press
SP  - 607
EP  - 613
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsma-16.2016.104
DO  - 10.2991/icsma-16.2016.104
ID  - Zhou2016/12
ER  -