Human-Centered Scheduling with a Heterogeneous Workforce in the Context of Industry 5.0: A Proof of Concept from a Learning Factory

Hajer Hamdaoui; Safa Bhar Layeb; Amel Jaoua; Elisa Negri

doi:10.2991/978-94-6463-654-3_13

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Human-Centered Scheduling with a Heterogeneous Workforce in the Context of Industry 5.0: A Proof of Concept from a Learning Factory

Authors

Hajer Hamdaoui¹, Safa Bhar Layeb¹^{, 2}^{, *}, Amel Jaoua¹, Elisa Negri³

¹LR-OASIS, National Engineering School of Tunis, University of Tunis El Manar, Tunis, Tunisia

²Centre Génie Industriel, Université Toulouse, IMT Mines Albi, Albi, France

³Management, Economics and Industrial Engineering, Politecnico di Milano, Milano, Italy

^*Corresponding author. Email: safa.layeb@enit.utm.tn

Corresponding Author

Safa Bhar Layeb

Available Online 24 February 2025.

DOI: 10.2991/978-94-6463-654-3_13 How to use a DOI?
Keywords: Industry 5.0; Modular Production Systems; Mixed Integer Linear Programming; Simulation-based Optimization; Gantt Chart
Abstract: This research focuses on task allocation in a diverse workforce to address the challenges modern companies face in the competitive business environment within the context of Industry 5.0. It examines the potential of Simulation-Based Optimization (SBO) in resolving these issues. Initially, a mathematical model is developed to validate the simulation model’s solution to the optimization problem involving task allocation under deterministic conditions. It then extends its analysis to consider the complexities of stochastic situations while accounting for differences in task execution time. This project aims to identify the mathematical model’s limitations in addressing these challenges and demonstrate the potential of Simulation-Based Optimization as a valuable alternative in considering human behavior.
Copyright: © 2025 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the International Conference on Decision Aid and Artificial Intelligence (ICODAI 2024)
Series: Atlantis Highlights in Intelligent Systems
Publication Date: 24 February 2025
ISBN: 978-94-6463-654-3
ISSN: 2589-4919
DOI: 10.2991/978-94-6463-654-3_13 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Hajer Hamdaoui
AU  - Safa Bhar Layeb
AU  - Amel Jaoua
AU  - Elisa Negri
PY  - 2025
DA  - 2025/02/24
TI  - Human-Centered Scheduling with a Heterogeneous Workforce in the Context of Industry 5.0: A Proof of Concept from a Learning Factory
BT  - Proceedings of the  International Conference on Decision Aid and Artificial Intelligence (ICODAI 2024)
PB  - Atlantis Press
SP  - 157
EP  - 169
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-654-3_13
DO  - 10.2991/978-94-6463-654-3_13
ID  - Hamdaoui2025
ER  -

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