A digital twin framework for the simulation and optimization of production systems

Ugarte Querejeta, Miriam

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Title

A digital twin framework for the simulation and optimization of production systems

Author

Ugarte Querejeta, Miriam Mondragon Unibertsitatea

Author (from another institution)

Ricondo Iriondo, Itziar

Porto, Alain

Research Group

Robótica y automatización
Ingeniería del software y sistemas

xmlui.dri2xhtml.METS-1.0.item-contributorOtherinstitution

https://ror.org/003qafx79

Version

http://purl.org/coar/version/c_970fb48d4fbd8a85

Rights

Access

http://purl.org/coar/access_right/c_abf2

URI

https://hdl.handle.net/20.500.11984/5460

Publisher’s version

https://doi.org/10.1016/j.procir.2021.11.128

Published at

Procedia CIRP Vol. 104. Pp. 762-767, 2021

Publisher

Elsevier B.V.

Keywords

digital twin
discrete-event simulation
monitoring
optimization ... [+]

digital twin
discrete-event simulation
monitoring
optimization
Servitization [-]

Abstract

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. [-]