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Topological Resilience Analysis of Supply Networks under Random Disruptions and Targeted Attacks
| Content Provider | CiteSeerX |
|---|---|
| Author | Wang, Wenjun Street, W. Nick Dematta, Renato E. |
| Abstract | Abstract—Along with the rapid advancement of information technology, the traditional hierarchical supply chain has been quickly evolving into a variety of supply networks, which usually incorporate a large number of entities into complex graph topologies. The study of the resilience of supply networks is an important challenge. In this paper, we exploit the resilience embedded in the network topology by investigating in depth the multiple-path reachability of each demand node to other nodes, and propose a novel network resilience metric. We also develop new supply-network growth mechanisms that reflect the heterogeneous roles of different types of nodes in the supply network. We incorporate them into two fundamental network topologies (i.e. random-graph network and scale-free network), and evaluate their resilience against both random disruptions and targeted attacks using the new resilience metric. The exper-imental results verify the validity of our resilience metric and the effectiveness of our growth model. This research provides a generic framework and important insights into the construction and resilience analysis of complex supply networks. I. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Supply Network Random Disruption Targeted Attack Topological Resilience Analysis Exper-imental Result Important Insight Traditional Hierarchical Supply Chain Scale-free Network Resilience Analysis Novel Network Resilience Complex Graph Topology Important Challenge Multiple-path Reachability Complex Supply Network Rapid Advancement New Resilience Fundamental Network Topology Heterogeneous Role Generic Framework Network Topology Information Technology New Supply-network Growth Mechanism Random-graph Network Growth Model Abstract Along |
| Content Type | Text |
