A Model-Based Approach to Automated Digital Twin Generation in Manufacturing

TL;DR

This paper introduces a novel platform that automates the creation and deployment of digital twins in manufacturing, leveraging AutomationML and AI to improve flexibility, reconfiguration, and real-time monitoring.

Contribution

It presents an automated, model-based approach for generating digital twins from factory plans, integrating AI-driven simulation and physical reconfiguration for manufacturing.

Findings

Automates digital twin generation from factory plans

Enhances manufacturing flexibility and reconfigurability

Integrates AI for simulation scenario generation

Abstract

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.