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Analysis identifies twelve core technologies in intelligent industrial production, suggesting enhanced efficiency and quality control.
The purpose of the study is to identify and analyze the main structural components of intelligent industrial production. The structural components of intelligent industrial production are based on the integration of advanced technologies, interconnected systems and data-driven processes to optimize production. Twelve main structural components are identified: industrial Internet of Things, artificial intelligence/machine learning, big data, autonomous robots, additive manufacturing, cloud computing, 5G connectivity, peripheral computing, digital twins, design for manufacturing, cybersecurity, digital intellectual assets. The analysis revealed the advantages of intelligent manufacturing: efficiency and productivity; flexibility and efficiency; improved quality control; environmental friendliness and comprehensive savings.
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GRINEVA et al. (2025) studied this question.
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