A Model-Based Approach to Automated Digital Twin Generation in Manufacturing
Fuente:
arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866914140097871872 |
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| author | Alexopoulos, Angelos Bompotas, Agorakis Kalogeropoulos, Nikitas Rigas Kechagias, Panagiotis Kalogeras, Athanasios P. Alexakos, Christos |
| author_facet | Alexopoulos, Angelos Bompotas, Agorakis Kalogeropoulos, Nikitas Rigas Kechagias, Panagiotis Kalogeras, Athanasios P. Alexakos, Christos |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_03742 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Model-Based Approach to Automated Digital Twin Generation in Manufacturing Alexopoulos, Angelos Bompotas, Agorakis Kalogeropoulos, Nikitas Rigas Kechagias, Panagiotis Kalogeras, Athanasios P. Alexakos, Christos Systems and Control Software Engineering 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. |
| title | A Model-Based Approach to Automated Digital Twin Generation in Manufacturing |
| topic | Systems and Control Software Engineering |
| url | https://arxiv.org/abs/2511.03742 |