
Share
Title
A digital twin framework for the simulation and optimization of production systemsAuthor
Published Date
2021Publisher
Elsevier B.V.Keywords
digital twindiscrete-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 ... [+]
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. [-]
Publisher’s version
https://doi.org/10.1016/j.procir.2021.11.128ISSN
2212-8271Published at
Procedia CIRP Vol. 104. Pp. 762-767, 2021Document type
Conference paperVersion
PublishedRights
© 2021 by the authors. Published by Elsevier BVAccess
Open AccessCollections
The following license files are associated with this item: