Smart Optimized Scheduling Under Constraints in Industry 5.0 Through Intelligent Computational Methods

Cherifa Nakkach, Wiem Abbes, Yvan Picaud

2025

Abstract

Production scheduling has become an integral component of next-generation industrial systems during the era of Industry 5.0, which emphasizes collaboration between humans and machines, sustainability, and hyper-personalization. To address complex scheduling challenges, this paper presents a smart scheduling framework based on metaheuristic optimization tailored for manufacturing environments incorporating 3D printing technologies. The proposed framework addresses several key objectives, including the optimization of energy consumption, efficient utilization of raw materials, and minimization of total production time. By incorporating metaheuristic algorithms such as Genetic Algorithms, Particle Swarm Optimization, and Ant Colony Optimization, the system demonstrates adaptability to multiple constraints and competing priorities. Experimental evaluations confirm the framework’s effectiveness in enhancing operational efficiency, flexibility, and sustainability, in alignment with the core principles of Industry 5.0.

Paper Citation

in Harvard Style

Nakkach C., Abbes W. and Picaud Y. (2025). Smart Optimized Scheduling Under Constraints in Industry 5.0 Through Intelligent Computational Methods. In Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-770-2, SciTePress, pages 511-517. DOI: 10.5220/0013748500003982

in Bibtex Style

@conference{icinco25,
author={Cherifa Nakkach and Wiem Abbes and Yvan Picaud},
title={Smart Optimized Scheduling Under Constraints in Industry 5.0 Through Intelligent Computational Methods},
booktitle={Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2025},
pages={511-517},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013748500003982},
isbn={978-989-758-770-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Smart Optimized Scheduling Under Constraints in Industry 5.0 Through Intelligent Computational Methods
SN - 978-989-758-770-2
AU - Nakkach C.
AU - Abbes W.
AU - Picaud Y.
PY - 2025
SP - 511
EP - 517
DO - 10.5220/0013748500003982
PB - SciTePress