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.), 16th CIRP Conference on Intelligent Computation in Manufacturing Engineering (pp. 86–91). Elsevier. https://doi.org/10.1016/j.procir.2023.06.016
16th CIRP Conference on Intelligent Computation in Manufacturing Engineering
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Volume:
118
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Date (published):
2023
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Event name:
16th CIRP Conference on Intelligent Computation in Manufacturing Engineering
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Event date:
13-Jul-2022 - 15-Jul-2022
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Event place:
Naples, Italy
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Number of Pages:
6
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Publisher:
Elsevier
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Peer reviewed:
Yes
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Keywords:
Digital Twin; Discrete Event Simulation; logistic system; multi-fidelity model; process optimisation; process simulation
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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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Project title:
CDP2_MFP1.4_Klatt_Optimization of Digital Twin: Leistungsvereinbarung_MFP1.4_IFT_CDP (CDP Center for Digital Production G)
CC BY-NC-ND 4.0
