HIGHLIGHTS
- What: To this issue the authors propose an architecture to optimize the task assignment problem for personnel. The authors propose the use of different cost functions obtained with deterministic and machine learning techniques. This approach aims to enhance personnel allocation within the sector thereby optimizing the efficiency of this process. The study proposed a machine_learning method combining simulation optimization for offline training with a neural_network.
- Who: Juan Pablo Vásconez and colleagues from the Faculty of Engineering, Universidad Andres Bello, Santiago, Chile have published the Article: Smart Delivery Assignment through Machine Learning and the Hungarian . . .

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