Integrating Human-Centricity, Sustainability, and Resilience in Digital Twin Models for Industry 5.0 : A Multi-Objective Optimization Approach - Archive ouverte HAL
Communication Dans Un Congrès Année : 2024

Integrating Human-Centricity, Sustainability, and Resilience in Digital Twin Models for Industry 5.0 : A Multi-Objective Optimization Approach

Résumé

This paper presents the InduDesc framework, an innovative digital twin model within the CupCarbon software, designed for the advanced needs of Industry 5.0. It integrates human-centred ergonomics, sustainability and resilience into the Flexible Job Shop Scheduling Problem (FJSP), traditionally an NP-hard challenge. By minimising operating times and balancing machine utilisation with ergonomic and sustainability considerations, the framework provides a dynamic workload management tool based on real-time 'fatigue' metrics. Using a tabu search algorithm, InduDesc generates a Pareto frontier to help decision makers identify strategies that efficiently align with the integrated goals of Industry 5.0.
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Dates et versions

hal-04543143 , version 1 (11-04-2024)

Identifiants

  • HAL Id : hal-04543143 , version 1

Citer

Madani Bezoui, Ilhem Slama, Ahcene Bounceur, Saeed Mian Qaisar, Mohammad Hammoudeh, et al.. Integrating Human-Centricity, Sustainability, and Resilience in Digital Twin Models for Industry 5.0 : A Multi-Objective Optimization Approach. Congrès Annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision, Mar 2024, Amiens (Université Picardie Jules Verne), France. ⟨hal-04543143⟩
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