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Article . 2025 . Peer-reviewed
License: Elsevier TDM
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From Individuals to Teams: A Conceptual Model for Group Behavior Integration in Industry 5.0

Authors: Hebbadj, Nesrine; Benhafssa, Abdelkader Mekhalef; Sahnoun, M’hammed; Battaia, Olga;

From Individuals to Teams: A Conceptual Model for Group Behavior Integration in Industry 5.0

Abstract

In Industry 5.0 environments, integrating human behavior models into scheduling and planning is essential. However, most research in this field focuses on individual modeling, overlooking the significant influence of group dynamics. Beyond isolated interactions, collective decision-making and team behaviors shape system performance, especially when deploying collaborative technologies such as Autonomous Intelligent Vehicles (AIVs) and smart information systems. This paper proposes a conceptual model that incorporates group behaviors into scheduling frameworks, shifting from purely operational goals toward more human-centric, adaptive approaches. By aligning production planning with human needs and behaviors, we advance sustainable, worker-friendly solutions that enhance efficiency, safety, and flexibility, paving the way toward human-centric scheduling and production management.

Keywords

Group Dynamics, [SPI] Engineering Sciences [physics], Human-Centered Scheduling, Human Behavior Modeling, [SHS] Humanities and Social Sciences, [INFO] Computer Science [cs], Human-Robot Interaction, Industry 5.0

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold