Integrating Human-Centricity, Sustainability, and Resilience in Digital Twin Models for Industry 5.0 : A Multi-Objective Optimization Approach
Bezoui, Madani Slama, Ilhem Bounceur, Ahcene Mian Qaisar, Saeed Hammoudeh, Mohammad Turki Almaktoom, Abdulaziz
Bezoui, Madani
Slama, Ilhem
Bounceur, Ahcene
Mian Qaisar, Saeed
Hammoudeh, Mohammad
Turki Almaktoom, Abdulaziz
Citations
Altmetric:
Type
Supervisor
Date
2024
Collections
Research Projects
Organizational Units
Journal Issue
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.
Department
Publisher
Sponsor
Effat University