Optimización del sistema de esclusas del Canal de Panamá con inteligencia artificial
DOI:
https://doi.org/10.59722/synergia.v1i1.1032Palabras clave:
Canal de Panamá, eficiencia operativa, gestión marítima, inteligencia artificial, optimización de esclusasResumen
Este estudio presenta una guía práctica para optimizar el sistema de esclusas del Canal de Panamá mediante la implementación de Inteligencia Artificial (IA). Frente a los crecientes desafíos de eficiencia operativa y gestión de recursos, se proponen soluciones basadas en IA para mejorar la gestión del tráfico de barcos, minimizar tiempos de espera y optimizar el uso de recursos críticos. Mediante una revisión de literatura y análisis de casos relevantes, se evalúan técnicas de IA como Algoritmos Genéticos, Optimización por Colonia de Hormigas y modelos predictivos basados en redes neuronales. Se propone una estrategia de implementación gradual, iniciando con pruebas piloto y avanzando hacia una integración completa en las operaciones diarias. Los resultados sugieren mejoras significativas en la eficiencia operativa, con potenciales reducciones en tiempos de espera de hasta un 30% y optimizaciones en el uso de recursos de aproximadamente 20%. Sin embargo, se identifican desafíos importantes, incluyendo la adaptación tecnológica, la gestión del cambio organizacional y consideraciones éticas. Este trabajo ofrece una hoja de ruta para la transformación digital del Canal de Panamá, proporcionando recomendaciones prácticas e identificando áreas para investigación futura. Las conclusiones subrayan el potencial transformador de la IA en la gestión de infraestructuras marítimas críticas y su impacto en la competitividad global del Canal.
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