Work

Analysis of Data-Driven Digital Twins in Manufacturing: Development, Model Reuse and Update

Year: 2025

Type: article

Abstract: In manufacturing, development approaches, model reuse and update process are important research subjects for data-driven simulation models and Digital Twins (DTs). As a result, an analysis of certain data-driven models and DTs is conducted to assess these topics. The main conclusions of the analysis are: first, the development approaches lack sufficient detail regarding the development of the simulation models. Second, the lack of detail and the unavailability of code make difficult the model reuse. And third, the information regarding the update process of the simulation model within a DT is either limited or absent.

Source: IFAC-PapersOnLine

DOI: 10.1016/j.ifacol.2025.09.214

Authors: Sofia Abadía, William Derigent, Virginie Goepp

Institutions: Institut National des Sciences Appliquées de Strasbourg, Laboratoire des Sciences de l'Ingénieur, de l'Informatique et de l'Imagerie, CRAN, Université de Lorraine

Language: English

Topic: Digital Transformation in Industry

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

Funder: Agence Nationale de la Recherche