A Human Digital-Twin-Based Framework Driving Human Centricity towards Industry 5.0.

Area of Science:

• Industrial Engineering
• Computer Science
• Manufacturing Systems

Background:

• Traditional digital twin models often overlook the human element in manufacturing.
• Industry 5.0 emphasizes human-machine collaboration and worker well-being.
• Integrating human-centric approaches is crucial for advanced manufacturing.

Purpose of the Study:

• To propose a digital-twin-based framework for orchestrating human-centered processes in Industry 5.0.
• To extend the digital twin concept by incorporating human workers and their digital replicas.
• To provide a reference architecture for manufacturing companies to harmonize human-machine interactions.

Main Methods:

• Development of a digital-twin-based framework incorporating human workers and their digital replicas.
• Design of a platform for monitoring, simulation, and optimization of human-machine interactions.
• Implementation and validation of the framework using a real-world case study in a furniture factory.

Main Results:

• The proposed framework successfully integrates human workers into the digital twin loop.
• The implemented platform demonstrated effective monitoring, simulation, and optimization of human-machine interactions.
• The case study validated the framework's ability to enhance collaboration and operational efficiency.

Conclusions:

• The human-centered digital twin framework is a viable approach for Industry 5.0.
• Integrating human replicas into digital twins improves human-machine orchestration and operational outcomes.
• The framework offers a valuable reference architecture for smart manufacturing environments.