Artificial Intelligence in Port Equipment Selection
Optimizing Decisions with Generative Models
DOI:
https://doi.org/10.5281/zenodo.20214738Keywords:
Equipment selection, Generative artificial intelligence, Decision matrix, Reach stacker, Container terminalsAbstract
The proper selection of port equipment is essential to ensure operational efficiency and the competitiveness of container terminals. This article proposes a methodology that integrates the Decision Matrix with Generative Artificial Intelligence (AI) techniques to enhance the equipment selection process, using the Reach Stacker as a case study. The approach aims to compare catalogs from various manufacturers, refining technical descriptions through access prompts to obtain more precise and efficient responses.
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Copyright (c) 2025 Luiz Filipe de Lara Lima, Luiz Felipe Rampazzo, Vitor Daniel Oliveira da Silva, Álvaro Camargo Prado, Luciana Maria Guimaraes
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