Inteligencia Artificial en la Selección de Equipos Portuarios

Optimizando Decisiones con Modelos Generativos

Autores/as

  • Luiz Filipe de Lara Lima Fatec Rubens Lara
  • Luiz Felipe Rampazzo Fatec Rubens Lara
  • Vitor Daniel Oliveira da Silva Fatec Rubens Lara
  • Álvaro Camargo Prado Fatec Rubens Lara
  • Luciana Maria Guimaraes Fatec Rubens Lara

DOI:

https://doi.org/10.5281/zenodo.20214738

Palabras clave:

Selección de equipo, Inteligencia artificial generativa, Matriz de decisión, Apilador de alcance, Terminales de contenedores

Resumen

La selección adecuada del equipo portuario es esencial para garantizar la eficiencia operativa y la competitividad de las terminales de contenedores. Este artículo propone una metodología que integra la Matriz de Decisión con técnicas de Inteligencia Artificial Generativa (IA) para mejorar el proceso de selección de equipos, utilizando el Reach Stacker como estudio de caso. El enfoque busca comparar catálogos de diferentes fabricantes, refinando descripciones técnicas mediante prompts de acceso, con el objetivo de obtener respuestas más precisas y eficientes.

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Publicado

2026-01-05

Cómo citar

Lima, L. F. de L., Rampazzo, L. F., Silva, V. D. O. da, Prado, Álvaro C., & Guimaraes, L. M. (2026). Inteligencia Artificial en la Selección de Equipos Portuarios: Optimizando Decisiones con Modelos Generativos. Advances in Global Innovation & Technology, 4(2), e42008. https://doi.org/10.5281/zenodo.20214738

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