{"id":3459,"date":"2022-07-13T09:30:00","date_gmt":"2022-07-13T07:30:00","guid":{"rendered":"https:\/\/cirpicme.org\/?page_id=3459"},"modified":"2022-07-26T13:06:54","modified_gmt":"2022-07-26T11:06:54","slug":"design-of-a-multi-fidelity-methodology-for-logistics-process-planning-and-digital-twin-integration-in-the-early-phases-of-product-development","status":"publish","type":"page","link":"https:\/\/cirpicme.org\/index.php\/production-systems-networks-2\/design-of-a-multi-fidelity-methodology-for-logistics-process-planning-and-digital-twin-integration-in-the-early-phases-of-product-development\/","title":{"rendered":"Design of a Multi-Fidelity Methodology for logistics process planning and Digital Twin integration in the early phases of product development"},"content":{"rendered":"\n

by Gernot Poechgraber, S\u00e9bastien Bougain, Thomas Trautner, Niphon Jeepjua, Gerold Bohaty, Friedrich Bleicher (Austria)<\/em><\/p>\n\n\n\n

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Abstract<\/strong><\/p>\n\n\n\n

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.<\/p>\n\n\n\n

Keywords<\/strong>: Digital Twin; Multi-fidelity model; Process simulation; Discrete Event Simulation; Process optimisation; Logistic system<\/p>\n\n\n\n

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Video presentation<\/strong><\/p>\n\n\n\n