What are the key factors to be considered during the process of the implementation of Digital Twin?
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Key factors crucial during the implementation of Digital Twins include optimizing operational processes, ensuring real-time data exchange, addressing the need for specialist IT skills, managing high demand for patient data, and navigating ethical concerns related to privacy and surveillance . Additionally, the importance of accurate real-time synchronization between the physical system and its Digital Twin is highlighted, emphasizing the significance of networking support for successful implementation . Furthermore, in the context of renewable energy sources, factors such as modeling stress testing, shortage of qualified IT specialists, and high implementation costs are identified as significant challenges . Moreover, the design and implementation of a Digital Twin for pharmaceutical manufacturing processes emphasize the necessity of hybrid models, surrogate models, and operational technology architecture for effective control and monitoring .
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| Papers (5) | Insight |
|---|---|
| Key factors for Digital Twin implementation in banking include optimizing operational processes, enhancing modeling and stress testing, addressing IT talent shortage, high implementation costs, and reliance on foreign technology. | |
2 Citations | Key factors during Digital Twin implementation include real-time synchronization, networking support for accurate representation, feature-based quality description, and a stage-based framework for large-scale complex system creation. |
| Key factors in Digital Twin implementation include hybrid models, PATs for real-time monitoring, control of critical quality attributes, IT-OT architecture, and user interfaces for simulation and online monitoring. | |
| Key factors for Digital Twin implementation include analyzing metrological factors of different renewable energy sources, optimizing battery storage, predicting power generation accurately, and ensuring grid efficiency through comprehensive simulations. | |
| Key factors for Digital Twin implementation in cardiovascular medicine include preventing diseases, in silico simulation, personalized care, real-time data exchange, specialist skills, patient data demand, and privacy concerns. |
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