A Model-Based Approach to Automated Digital Twin Generation in Manufacturing
By: Angelos Alexopoulos , Agorakis Bompotas , Nikitas Rigas Kalogeropoulos and more
Potential Business Impact:
Builds factory robots that fix themselves.
Modern manufacturing demands high flexibility and reconfigurability to adapt to dynamic production needs. Model-based Engineering (MBE) supports rapid production line design, but final reconfiguration requires simulations and validation. Digital Twins (DTs) streamline this process by enabling real-time monitoring, simulation, and reconfiguration. This paper presents a novel platform that automates DT generation and deployment using AutomationML-based factory plans. The platform closes the loop with a GAI-powered simulation scenario generator and automatic physical line reconfiguration, enhancing efficiency and adaptability in manufacturing.
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