Email this article Analysis of the main structural components of intelligent industrial production
- Authors: Grineva N.V.1, Abdikeev N.M.1
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Affiliations:
- Financial University under the Government of the Russian Federation
- Issue: Vol 21, No 4 (2025)
- Pages: 142-153
- Section: Regional and Sectoral Economics
- URL: https://journal-vniispk.ru/2541-8025/article/view/316462
- DOI: https://doi.org/10.33693/2541-8025-2025-21-4-142-153
- EDN: https://elibrary.ru/DEWBWV
- ID: 316462
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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.
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##article.viewOnOriginalSite##About the authors
Natalia V. Grineva
Financial University under the Government of the Russian Federation
Author for correspondence.
Email: ngrineva@fa.ru
ORCID iD: 0000-0001-7647-5967
SPIN-code: 1140-9636
Cand. Sci. (Econ.), Associate Professor, Associate Professor of the Department of Information Technology, Senior Researcher at the Institute of Financial and Economic Policy
Russian Federation, MoscowNiyaz M. Abdikeev
Financial University under the Government of the Russian Federation
Email: NAbdikeev@fa.ru
ORCID iD: 0000-0002-5999-0542
SPIN-code: 6395-7663
Dr. Sci. (Econ.), Professor, Director of the Institute of Financial and Industrial Policy
Russian Federation, MoscowReferences
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