Integrating Human-Centricity, Sustainability, and Resilience in Digital Twin Models for Industry 5.0 : A Multi-Objective Optimization Approach
Author
Bezoui, MadaniSlama, Ilhem
Bounceur, Ahcene
Mian Qaisar, Saeed
Hammoudeh, Mohammad
Turki Almaktoom, Abdulaziz
Date
2024
Metadata
Show full item recordAbstract
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.Department
Electrical and Computer EngineeringSponsor
Effat Universityae974a485f413a2113503eed53cd6c53
https://roadef2024.sciencesconf.org/512891