Disruption evaluation in end-to-end semiconductor supply chains via interpretable machine learning

COVID-19 has posed unprecedented challenges to global health and the world economy. Two years into the pandemic, the widespread impact of COVID-19 continues to deepen, impacting different industries such as the automotive industry and its supply chain. This study presents a hybrid approach combining...

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Detalles Bibliográficos
Autores principales: Jaenichen, Friedrich-Maximilian, Liepold, Christina J., Ismail, Abdelgafar, Schiffer, Maximilian, Ehm, Hans
Formato: Online Artículo Texto
Lenguaje:English
Publicado: , IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605715/
http://dx.doi.org/10.1016/j.ifacol.2022.09.479

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605715/
http://dx.doi.org/10.1016/j.ifacol.2022.09.479

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