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Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review
In the broad sense, the Bayesian networks (BN) are probabilistic graphical models that possess unique methodical features to model dependencies in complex networks, such as forward and backward propagation (inference) of disruptions. BNs have transitioned from an emerging topic to a growing research...
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| Gepubliceerd in: | Expert Syst Appl |
|---|---|
| Hoofdauteurs: | , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Elsevier Ltd.
2020
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7305519/ https://ncbi.nlm.nih.gov/pubmed/32834558 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.eswa.2020.113649 |
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