Artificial Intelligence in Supply Chain Management: From Optimization Tool to Strategic Infrastructure
Fuente:
Zenodo
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Recurso digital |
| Lenguaje: | inglés |
| Publicado: |
Zenodo
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866901793596768256 |
|---|---|
| author | SUAREZ TORRES, MARIA JOSE |
| author_facet | SUAREZ TORRES, MARIA JOSE |
| contents | <p><span lang="EN-US">Supply chains were traditionally designed with a primary focus on cost efficiency and service level optimization. However, recent global disruptions including pandemics, geopolitical instability, tariff shifts, and climate-related events have revealed structural vulnerabilities in highly optimized yet fragile systems</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18991058 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Artificial Intelligence in Supply Chain Management: From Optimization Tool to Strategic Infrastructure SUAREZ TORRES, MARIA JOSE Artificial intelligence SUPPLY CHAIN MACHINE LEARNING <p><span lang="EN-US">Supply chains were traditionally designed with a primary focus on cost efficiency and service level optimization. However, recent global disruptions including pandemics, geopolitical instability, tariff shifts, and climate-related events have revealed structural vulnerabilities in highly optimized yet fragile systems</span></p> |
| title | Artificial Intelligence in Supply Chain Management: From Optimization Tool to Strategic Infrastructure |
| topic | Artificial intelligence SUPPLY CHAIN MACHINE LEARNING |
| url | https://doi.org/10.5281/zenodo.18991058 |