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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Autores:
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Universidad de Bogotá Jorge Tadeo Lozano
Repositorio:
Expeditio: repositorio UTadeo
Idioma:
eng
OAI Identifier:
oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/12130
Acceso en línea:
https://doi.org/10.1016/j.eswa.2020.113649
http://hdl.handle.net/20.500.12010/12130
Palabra clave:
Supply chain management
Supply chain resilience
Bayesian network
Machine learning
Ripple effect
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
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License
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