10 papers analyzed
These studies suggest that digital twins can optimize manufacturing processes and product design by enhancing production efficiency, enabling intelligent control and decision-making, improving monitoring and maintenance, and facilitating real-time analysis and optimization.
Digital twins (DTs) are virtual replicas of physical systems that enable real-time monitoring, simulation, and optimization of manufacturing processes and product design. By integrating technologies such as the Internet of Things (IoT), machine learning, and big data analytics, digital twins offer significant potential to enhance efficiency, reduce costs, and improve decision-making in manufacturing.
Optimization of Production Processes:
Enhanced Product Design and Development:
Cognitive and Autonomous Capabilities:
Simulation and Predictive Analysis:
Integration with Smart Manufacturing Systems:
Digital twins hold substantial promise in optimizing manufacturing processes and product design. They enable real-time monitoring, dynamic adaptation, and continuous optimization of production systems. By integrating advanced technologies, digital twins enhance product development, facilitate autonomous decision-making, and provide predictive insights. As a core component of smart manufacturing, digital twins are pivotal in transforming traditional manufacturing paradigms towards more efficient, intelligent, and responsive systems.
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