Digital twin framework for reconfigurable manufacturing systems (RMSs): design and simulation

Area of Science:

• Manufacturing Engineering
• Industrial Systems
• Digital Transformation

Background:

• Intensified global competition and rising customer demands necessitate advanced manufacturing strategies.
• Sustainable manufacturing and product customization drive complexity in production environments.
• Reconfigurable Manufacturing Systems (RMSs) offer flexibility and extended lifecycles through adaptable characteristics.

Purpose of the Study:

• To propose a digital twin design and simulation model for Reconfigurable Manufacturing Systems (RMSs).
• To address the challenges of dynamic market conditions and complex manufacturing environments.
• To leverage emerging information technologies for enhanced manufacturing system performance.

Main Methods:

• Design of a digital twin model tailored for RMSs.
• Simulation of the proposed digital twin model.
• Integration of advanced technologies like IoT, Big Data, AI, and cyber-physical systems.

Main Results:

• The proposed model facilitates the design and simulation of RMSs.
• Digital twins enable better management of manufacturing system reconfiguration.
• Enhanced adaptability and lifecycle extension of manufacturing systems are achievable.

Conclusions:

• Digital twin technology is crucial for modern smart manufacturing.
• The developed model provides a framework for implementing digital twins in RMSs.
• This approach supports agile and sustainable manufacturing practices in a competitive landscape.