La dualidad de la inteligencia artificial en la sostenibilidad de las cadenas de suministro: una revisión narrativa
DOI:
https://doi.org/10.31637/epsir-2024-552Palabras clave:
Inteligencia Artificial, Cadenas de suministro, sostenibilidad, huella de carbono, optimización logística, predicción de demanda, gestión de inventarios, eficiencia operativa, actitudesResumen
Introducción: En la era digital actual, la inteligencia artificial (IA) se posiciona como una herramienta crucial para avanzar hacia cadenas de suministro sostenibles, abordando ineficiencias y reduciendo emisiones de carbono derivadas de la creciente demanda energética. Metodología: Se realizó una revisión narrativa de la literatura, evaluando artículos publicados en las bases de datos Scopus y Science Direct entre 2022 y 2024, para capturar los avances recientes del impacto de la IA en la sostenibilidad de las cadenas de suministro. Resultados: Los hallazgos subrayan la capacidad de la IA para optimizar procesos logísticos, mejorar la predicción de la demanda y gestionar inventarios de manera eficiente, reduciendo la huella de carbono y optimizando el uso de recursos. Discusión: Aunque los beneficios son significativos, la implementación de la IA enfrenta desafíos como el alto consumo energético y la complejidad en la integración de datos. Es esencial considerar las implicaciones éticas y sociales para maximizar los beneficios y minimizar los impactos negativos. Conclusiones: La integración de la IA en la gestión de la cadena de suministro representa un avance significativo en sostenibilidad y eficiencia operativa. Se requieren tecnologías más eficientes y políticas que apoyen la adopción de IA sostenible para superar los desafíos y maximizar los beneficios.
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