Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions

The ongoing COVID-19 pandemic has created an unprecedented predicament for global supply chains (SCs). Shipments of essential and life-saving products, ranging from pharmaceuticals, agriculture, and healthcare, to manufacturing, have been significantly impacted or delayed, making the global SCs vuln...

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Detalles Bibliográficos
Autores principales: Bassiouni, Mahmoud M., Chakrabortty, Ripon K., Hussain, Omar K., Rahman, Humyun Fuad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389854/
https://www.ncbi.nlm.nih.gov/pubmed/35999828
http://dx.doi.org/10.1016/j.eswa.2022.118604

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389854/
https://www.ncbi.nlm.nih.gov/pubmed/35999828
http://dx.doi.org/10.1016/j.eswa.2022.118604

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