Bezoui, MadaniSlama, IlhemBounceur, AhceneMian Qaisar, SaeedHammoudeh, MohammadTurki Almaktoom, Abdulaziz2024-05-132024-05-132024https://roadef2024.sciencesconf.org/512891http://hdl.handle.net/20.500.14131/1606This work is assigned by the Effat University under the grant number UC#9/12June2023/7.1-21(4)11This 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.SustainabilityResilienceDigital TwinMulti-Objective OptimizationIndustry 5.0Entp&Innov