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...
- 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
- Rights
- License
- Acceso restringido