Towards explainable decision support using hybrid neural models for logistic terminal automation

Riccardo D'Elia, Alberto Termine, Francesco Flammini

The integration of Deep Learning (DL) in System Dynamics (SD) modeling for transportation logistics offers significant advantages in scalability and predictive accuracy. However, t…