A graph theory-based methodology for vulnerability assessment of supply chains using the life cycle inventory database

作者: Jun Nakatani , Kiyotaka Tahara , Kenichi Nakajima , Ichiro Daigo , Hideaki Kurishima

DOI: 10.1016/J.OMEGA.2017.03.003

关键词:

摘要: Abstract Owing to the growing number of risk factors that can be triggered by natural and manmade disasters, management disruption risks in supply chains has become increasingly significant. Since market concentration raw material suppliers is a determinant risk, identification materials vital chain concurrently whose markets are highly concentrated will help management. In this study, we develop graph theory-based methodology for assessing vulnerability using life cycle inventory (LCI) database as data source nationwide chains. A structure, i.e., material-to-product links overall chain, modeled directed its adjacency matrix, adapted from physical input–output LCI database. The reachability components identified Boolean matrix calculations. Vulnerability indicators each component determined on basis measured Herfindahl–Hirschman Index terms domestic production regions import partners proxy extent risks. developed demonstrated national-level Japan, presented 23 types Japanese synthetic resins.

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