L.S. Zvyagin1

1 Financial University under the Government of the Russian Federation (Moscow, Russia)
1 lszvyagin@fa.ru

The modern industrial transformation within the framework of Industry 4.0 is characterized by the intensive implementation of information, measurement and control systems (IIAS) as a basis for sustainable industrial development. The study is aimed at a comprehensive analysis of the impact of IIUS on optimizing resource consumption and reducing the environmental impact of industrial enterprises. The methodology includes the analysis of data from 183 industrial enterprises of various industries for the period 2022–2024, the use of regression analysis, clustering and modeling of production processes.

The rationale for the relevance of this study is based on the identified gaps in scientific knowledge and the practical need of industrial enterprises for scientifically sound recommendations on the design and implementation of IIAS to achieve sustainable development goals. The uniqueness of the proposed approach lies in the comprehensive consideration of the technological, economic and environmental aspects of the IIUS operation using modern methods of industrial data analysis and modeling of complex cyber-physical systems.

The introduction of integrated IIAS ensures a reduction in energy consumption by 15–25%, a reduction in material losses by
12–18%, and a reduction in CO₂ emissions by 20–30% while increasing overall equipment efficiency by 8–15%. Correlation ana­lysis revealed a significant relationship (r = 0.73) between the level of automation of measurement processes and resource efficiency indicators. The multifactorial model showed that the integration of artificial intelligence into AI increases optimization efficiency by 35% (R2 = 0.68).

It consists in the development of methodological recommendations for the design of IIAS to achieve the goals of sustainable development. The results form the scientific basis for the development of intelligent industrial automation systems. The novelty of the research is the development of an integrated methodology for assessing the effectiveness of IIAS in the context of multiple criteria for sustainable development, taking into account the specifics of various industrial sectors. The non-triviality of the results obtained is due to the identification of nonlinear dependencies between the parameters of digitalization of production and indicators of environmental efficiency of technological processes.

Zvyagin L.S. Information, measurement and control systems as a key tool for implementing strategies for the sustainable development of industrial enterprises through optimizing resources and reducing the impact on the environment. Neurocomputers. 2025.
V. 27. № 6. P. 24−36. DOI: 10.18127/j19997493-202506-03 (in Russian).

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