Interdisciplinary Methodology for Resource Allocation Problems Using Artificial Neural Networks and Software Robots

Interdisciplinary Methodology for Resource Allocation Problems Using Artificial Neural Networks and Software Robots

This study presents an interdisciplinary methodology for the Resource Allocation Problem (RAP) in a textile manufacturing environment, aligned with the principles of Industry 5.0, which emphasizes the convergence of advanced technologies and the human factor. The core of this research lies in the in...

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Bibliographic Details
Main Authors: Marta Lilia Erana-Diaz, Marco Antonio Cruz-Chavez, Mario Acosta-Flores, Juana Enriquez-Urbano, Nadia Lara Ruiz, Jorge Pablo Oseguera Gamba
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Interdisciplinary
optimization
psychosocial factors
artificial neural networks
industry 5.0
adapted resources allocation problem
Online Access:https://ieeexplore.ieee.org/document/11091300/
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