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Digitalization in Production Logistics: How AI, Digital Twins, and Simulation Are Driving the Shift from Model-based to Data-driven Approaches |
Yongkuk Jeong |
Int. J. Precis. Eng. Manuf.-Smart Tech.. 2023;1(2):187-200. Published online 2023 July 5 DOI: https://doi.org/10.57062/ijpem-st.2023.0052 |
Digitalization in Production Logistics: How AI, Digital Twins, and Simulation Are Driving the Shift from Model-based to Data-driven Approaches International Journal of Precision Engineering and Manufacturing-Smart Technology. 2023;1(2):187-200 The Interplay of AI and Digital Twin: Bridging the Gap between Data-Driven and Model-Driven Approaches The Interplay of AI and Digital Twin: Bridging the Gap between Data-Driven and Model-Driven Approaches Dynamic simulation models as digital twins of logistics systems driven by data from multiple sources Data- and model-driven digital twins for design and logistics control of product distribution Digitalization and Data Driven Logistics at Dutch Logistic SMEs Merging Model-Based and Data-Driven Approaches for Resilient Systems Digital Twins Design A Design of Digital Twins for Supporting Decision-Making in Production Logistics Scenario-Driven Data Generation with Experimentable Digital Twins Scenario-Driven Data Generation with Experimentable Digital Twins |
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