Abstract | ||
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In this paper, the existing models of supply chain resilience assessment are extended by incorporating ripple effect and structure reconfiguration. Ripple effect mitigation control is vital for supply chain risk management from positions of structural resilience and recoverability. The research approach is based on a hybrid fuzzy-probabilistic approach. The genome method is applied with the object... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TEM.2017.2773574 | IEEE Transactions on Engineering Management |
Keywords | Field | DocType |
Resilience,Supply chains,Reliability,Genomics,Bioinformatics,Indexes,Risk management | Psychological resilience,Systems engineering,Fuzzy logic,Supply chain risk management,Supply chain engineering,Risk management,Supply chain,Engineering,Probabilistic logic,Reliability engineering,Control reconfiguration | Journal |
Volume | Issue | ISSN |
65 | 2 | 0018-9391 |
Citations | PageRank | References |
5 | 0.38 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alexander N. Pavlov | 1 | 24 | 4.40 |
Dmitry A. Ivanov | 2 | 299 | 29.05 |
Alexandre Dolgui | 3 | 847 | 95.46 |
Boris V. Sokolov | 4 | 281 | 29.12 |