{"ID":2847962,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.03742","arxiv_id":"2511.03742","title":"A Model-Based Approach to Automated Digital Twin Generation in Manufacturing","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.","short_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, simu...","url_abs":"https://arxiv.org/abs/2511.03742","url_pdf":"https://arxiv.org/pdf/2511.03742v1","authors":"[\"Angelos Alexopoulos\",\"Agorakis Bompotas\",\"Nikitas Rigas Kalogeropoulos\",\"Panagiotis Kechagias\",\"Athanasios P. Kalogeras\",\"Christos Alexakos\"]","published":"2025-10-30T09:33:41Z","proceeding":"eess.SY","tasks":"[\"eess.SY\",\"cs.SE\"]","methods":"[]","has_code":false}