Analysis of the Main Structural Components of Intelligent Industrial Production
( Pp. 142-153)

More about authors
Grineva Natalia V. Cand. Sci. (Econ.), Associate Professor; associate professor, Department of Information Technology
Financial University under the Government of the Russian Federation
Moscow, Russian Federation Abdikeev Niyaz M. Dr. Sci. (Eng.), Professor; chief researcher, Institute of Financial and Industrial Policy; Financial University under the Government of the Russian Federation; Moscow, Russian Federation
Abstract:
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.
How to Cite:
Grineva, N.V., Abdikeev, N.M. (2025). Analysis of the main structural components of intelligent industrial production. Economic Problems and Legal Practice, 21(4), 142-153. DOI: 10.33693/2541-8025-2025-21-4-142-153. EDN: DEWBWV
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Keywords:
structural components, intelligent industrial production, cybersecurity, Internet of things, digital intellectual assets, cloud technologies..