10 papers analyzed
These studies suggest that digital twins can optimize manufacturing processes and product lifecycle management by improving design, production efficiency, quality, data management, and decision-making.
Digital twins (DTs) are virtual replicas of physical entities that enable real-time monitoring, simulation, and optimization of manufacturing processes and product lifecycle management (PLM). By integrating advanced technologies such as IoT, machine learning, and big data, DTs offer significant potential to enhance efficiency, reduce costs, and improve product quality throughout the entire lifecycle of a product.
Optimization of Manufacturing Processes
Product Lifecycle Management (PLM)
Technological Integration and Innovation
Digital twins hold immense potential in optimizing manufacturing processes and product lifecycle management. They enable real-time monitoring, simulation, and optimization, leading to improved product quality, reduced costs, and enhanced efficiency. By integrating advanced technologies such as IoT, machine learning, and big data, DTs provide a comprehensive solution for intelligent manufacturing and lifecycle management, driving innovation and sustainability in various industries.
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