<div class="csl-bib-body">
<div class="csl-entry">Pöchgraber, G., Bougain, S., Trautner, T., Jeepjua, N., Bohaty, G., & Bleicher, F. (2023). Design of a Multi-Fidelity Methodology for logistics process planning and Digital Twin integration in the early phases of product development. In R. Teti & D. D’Addona (Eds.), <i>16th CIRP Conference on Intelligent Computation in Manufacturing Engineering</i> (pp. 86–91). Elsevier. https://doi.org/10.1016/j.procir.2023.06.016</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/192572
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dc.description.abstract
The challenging task of developing a new system depending on a wide variety of parameters and applied in various scenarios with different approaches require a lot of design time and simulation for each system. This paper proposes a method for building a simulation model capable of simulating various scenarios with dynamic change of fidelity to reduce design time and facilitate a later integration within a Digital Twin by combining Digital Twin design and product design in one design method. This methodology is demonstrated in a logistics process model.
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dc.description.sponsorship
CDP Center for Digital Production G
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dc.language.iso
en
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dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.subject
Digital Twin
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dc.subject
Discrete Event Simulation
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dc.subject
logistic system
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dc.subject
multi-fidelity model
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dc.subject
process optimisation
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dc.subject
process simulation
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dc.title
Design of a Multi-Fidelity Methodology for logistics process planning and Digital Twin integration in the early phases of product development
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dc.type
Inproceedings
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dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
en
dc.rights.license
Creative Commons Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International