Partekatu
Gorde erreferentzia
Izenburua
A digital twin framework for the simulation and optimization of production systemsEgilea
Beste instituzio
Ideko (Spain)Bertsioa
Bertsio argitaratua
Eskubideak
© 2021 by the authors. Published by Elsevier BVSarbidea
Sarbide irekiaArgitaratzailearen bertsioa
https://doi.org/10.1016/j.procir.2021.11.128Non argitaratua
Procedia CIRP Vol. 104. Pp. 762-767, 2021Argitaratzailea
Elsevier B.V.Gako-hitzak
digital twin
discrete-event simulation
monitoring
optimization ... [+]
discrete-event simulation
monitoring
optimization ... [+]
digital twin
discrete-event simulation
monitoring
optimization
Servitization [-]
discrete-event simulation
monitoring
optimization
Servitization [-]
Laburpena
Industry 4.0 has raised the expectations on productivity, automation, and resource efficiency of manufacturing systems. This paper proposes a digital twin framework for the simulation and optimization ... [+]
Industry 4.0 has raised the expectations on productivity, automation, and resource efficiency of manufacturing systems. This paper proposes a digital twin framework for the simulation and optimization of production lines and cells that can be used in the design and operation stages. The framework is supported by an architecture that connects manufacturing and machine tool data (digital shadow), the discrete event simulation model and the optimization engine, allowing for a variety of functionalities to plan and manage the production system. A use case is provided to demonstrate this framework, implemented in an automated line for the manufacturing of railway axles. [-]
Sponsorship
Comisión EuropeaProjectu ID
info:eu-repo/grantAgreement/EC/H2020/814078/EU/Digital Manufacturing and Design Training Network/DiManDBildumak
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Bestelakorik adierazi ezean, itemaren baimena horrela deskribatzen da: Attribution-NonCommercial-NoDerivatives 4.0 International
