Towards Sustainable Personalized Assembly Through Human-Centric Digital Twins

Area of Science:

• Manufacturing Engineering
• Industrial Systems
• Sustainability Science

Background:

• Industry trends shift towards green, sustainable, and personalized production, posing challenges for integration.
• Industry 4.0 focuses on digitalization, while Industry 5.0 complements it with human-centricity, resilience, and sustainability.
• A multidisciplinary approach is essential to address the complexities of modern manufacturing paradigms.

Purpose of the Study:

• To present an advanced concept of organizational sustainability.
• To demonstrate the application of digital twin technologies aligned with human-centric approaches.
• To introduce a novel human-centric digital twin prototype for optimizing assembly systems.

Main Methods:

• Utilizing research from the Erasmus+ ExCurS project, focusing on digital twin applications and training.
• Developing a multidisciplinary approach incorporating human-centricity, resilience, and sustainability.
• Creating a digital twin prototype with an algorithm for optimization and humanoid decision-making.

Main Results:

• An advanced concept for organizational sustainability was developed.
• The concept is realized through digital twin technologies integrated with human-centric principles.
• A prototype digital twin was created, optimizing an assembly system for personalized products.

Conclusions:

• The human-centric digital twin offers a viable solution for achieving organizational sustainability in personalized manufacturing.
• This approach enhances workforce engagement and well-being while improving system adaptability and environmental performance.
• The presented case study validates the effectiveness of the human-centric digital twin in industrial applications.