中间性中心性
中心性
系统性风险
风险评估
风险管理
风险分析(工程)
亲密度
计算机科学
度量(数据仓库)
复杂网络
节点(物理)
数据挖掘
业务
工程类
计算机安全
经济
数学
统计
财务
数学分析
万维网
宏观经济学
结构工程
金融危机
作者
Anna Ledwoch,Alexandra Brintrup,Jörn Mehnen,Ashutosh Tiwari
出处
期刊:IEEE Systems Journal
[Institute of Electrical and Electronics Engineers]
日期:2018-06-01
卷期号:12 (2): 1826-1837
被引量:37
标识
DOI:10.1109/jsyst.2016.2596999
摘要
The growth in size and complexity of supply chains has led to compounded risk exposure, which is hard to measure with existing risk management approaches. In this study, we apply the concept of systemic risk to show that centrality metrics can be used for complex supply network risk assessment. We review and select metrics, and set up an exemplary case applied to the material flow and contractual networks of Honda Acura. In the exemplary case study, geographical risk information is incorporated to selected systemic risk assessment metrics and results are compared to assessment without risk indicators in order to draw conclusions on how additional information can enhance systemic risk assessment in supply networks. Katz centrality is used to measure the node's risk spread using the World Risk Index. Authority and hub centralities are applied to measure the link risk spread using distances between geographical locations. Closeness is used to measure speed of disruption spread. Betweenness centrality is used to identify high-risk middlemen. Our results indicate that these metrics are successful in identifying vulnerabilities in network structure even in simplified cases, which risk practitioners can use to extend with historical data to gain more accurate insights into systemic risk exposure.
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