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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605715/ http://dx.doi.org/10.1016/j.ifacol.2022.09.479 |