Framework for the Development of Affective and Smart Manufacturing Systems Using Sensorised Surrogate Models.

Area of Science:

• Human-Computer Interaction
• Industrial Engineering
• Sociotechnical Systems

Background:

• Industry 4.0's Key Enabling Technologies (KETs) impact human factor strategy.
• Operator 4.0 roles require skills for volatile, uncertain, complex, and ambiguous (VUCA) environments.
• Current technological support may disempower the human factor.

Purpose of the Study:

• To propose strategies for empowering the human factor in manufacturing systems transitioning from Industry 4.0 to Industry 5.0.
• To establish a framework for occupational environments 5.0.
• To enable the inclusion of singularized operators 4.0, including individuals with special capacities.

Main Methods:

• Development of a new framework for designing occupational environments 5.0.
• Integration of intelligent and inclusive digital solutions.
• Proposal of a case study for worker inclusion in employment.

Main Results:

• A framework for symbiotic and co-evolutionary socio-technical systems is established.
• The model facilitates the integration of individuals with special capacities into the workforce.
• Intelligent and inclusive digital solutions are integrated into digital transformation workspaces.

Conclusions:

• Empowerment of the human factor is crucial for Industry 5.0.
• The proposed framework supports talent, sustainability, and innovation.
• Occupational environments 5.0 foster inclusive employment through digital solutions.