In the evolving landscape of manufacturing, the integration of intelligent control theory
stands as a pivotal advancement, driving both process optimization and the paradigm of …

In the last few years, the deep learning paradigm has experienced huge success in various
machine learning research areas like computer vision, drug discoveries, natural language …

The manufacturing industry often faces challenges related to customer satisfaction, system
degradation, product sustainability, inventory, and operation management. If not addressed …

Solving real-world inventory problems poses many challenges, including the estimation of
uncertain parameters (eg demand), dealing with their dynamic nature that often results in …

Trucking companies face significant fuel costs, with refueling expenses accounting for
approximately 30% of the operational costs. For trucking companies with low profit margins it …

Deep Reinforcement Learning (DRL) represents a significant advancement in machine
learning, particularly adept at addressing complex, high-dimensional decision-making …

En este artículo se propone un enfoque de solución para el problema de asignación de
becas con renovación temporal y transferencia de presupuesto entre unidades territoriales y …