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dc.contributor.authorBezoui, Madani
dc.contributor.authorSlama, Ilhem
dc.contributor.authorBounceur, Ahcene
dc.contributor.authorMian Qaisar, Saeed
dc.contributor.authorHammoudeh, Mohammad
dc.contributor.authorTurki Almaktoom, Abdulaziz
dc.date.accessioned2024-05-13T05:33:15Z
dc.date.available2024-05-13T05:33:15Z
dc.date.issued2024
dc.identifier.doihttps://roadef2024.sciencesconf.org/512891en_US
dc.identifier.urihttp://hdl.handle.net/20.500.14131/1606
dc.descriptionThis work is assigned by the Effat University under the grant number UC#9/12June2023/7.1-21(4)11en_US
dc.description.abstractThis 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.en_US
dc.description.sponsorshipEffat Universityen_US
dc.subjectSustainabilityen_US
dc.subjectResilienceen_US
dc.subjectDigital Twinen_US
dc.subjectMulti-Objective Optimizationen_US
dc.subjectIndustry 5.0en_US
dc.titleIntegrating Human-Centricity, Sustainability, and Resilience in Digital Twin Models for Industry 5.0 : A Multi-Objective Optimization Approachen_US
dc.contributor.researcherUniversity Collaborationen_US
dc.contributor.researcherExternal Collaborationen_US
dc.contributor.labArtificial Intelligence & Cyber Security Laben_US
dc.subject.KSAEntp&Innoven_US
dc.contributor.ugstudent0en_US
dc.contributor.alumnae0en_US
dc.source.indexOther indexen_US
dc.contributor.departmentElectrical and Computer Engineeringen_US
dc.contributor.pgstudent0en_US
dc.contributor.firstauthorBezoui, Madani
dc.conference.locationAmiens, Franceen_US
dc.conference.nameROADEF 2024en_US
dc.conference.date2024


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