Integrating Human-Centricity, Sustainability, and Resilience in Digital Twin Models for Industry 5.0 : A Multi-Objective Optimization Approach
dc.contributor.author | Bezoui, Madani | |
dc.contributor.author | Slama, Ilhem | |
dc.contributor.author | Bounceur, Ahcene | |
dc.contributor.author | Mian Qaisar, Saeed | |
dc.contributor.author | Hammoudeh, Mohammad | |
dc.contributor.author | Turki Almaktoom, Abdulaziz | |
dc.date.accessioned | 2024-05-13T05:33:15Z | |
dc.date.available | 2024-05-13T05:33:15Z | |
dc.date.issued | 2024 | |
dc.identifier.doi | https://roadef2024.sciencesconf.org/512891 | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.14131/1606 | |
dc.description | This work is assigned by the Effat University under the grant number UC#9/12June2023/7.1-21(4)11 | en_US |
dc.description.abstract | 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. | en_US |
dc.description.sponsorship | Effat University | en_US |
dc.subject | Sustainability | en_US |
dc.subject | Resilience | en_US |
dc.subject | Digital Twin | en_US |
dc.subject | Multi-Objective Optimization | en_US |
dc.subject | Industry 5.0 | en_US |
dc.title | Integrating Human-Centricity, Sustainability, and Resilience in Digital Twin Models for Industry 5.0 : A Multi-Objective Optimization Approach | en_US |
dc.contributor.researcher | University Collaboration | en_US |
dc.contributor.researcher | External Collaboration | en_US |
dc.contributor.lab | Artificial Intelligence & Cyber Security Lab | en_US |
dc.subject.KSA | Entp&Innov | en_US |
dc.contributor.ugstudent | 0 | en_US |
dc.contributor.alumnae | 0 | en_US |
dc.source.index | Other index | en_US |
dc.contributor.department | Electrical and Computer Engineering | en_US |
dc.contributor.pgstudent | 0 | en_US |
dc.contributor.firstauthor | Bezoui, Madani | |
dc.conference.location | Amiens, France | en_US |
dc.conference.name | ROADEF 2024 | en_US |
dc.conference.date | 2024 |