10 papers analyzed
These studies suggest that digital twin technology has significant potential in optimizing industrial processes and product lifecycle management by enhancing design optimization, managing deviations, utilizing massive data, improving lifecycle management, and integrating intelligent systems.
Digital twin (DT) technology, a core component of cyber-physical systems, is increasingly recognized for its potential to optimize industrial processes and manage product lifecycles. By creating virtual replicas of physical assets, DTs enable real-time monitoring, simulation, and decision-making, which can significantly enhance efficiency, productivity, and innovation across various industries.
Enhanced Product Lifecycle Management
Optimization of Manufacturing Processes
Intelligent Decision-Making and Innovation
Industry-Specific Applications
Digital twin technology holds significant potential for optimizing industrial processes and managing product lifecycles. By integrating real-time data, simulations, and advanced analytics, DTs enhance decision-making, improve manufacturing accuracy, and support innovative product development. Their application across various industries, from power to mining, demonstrates their versatility and effectiveness in driving efficiency and productivity.
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