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Development of tools for forecasting the development of industrial ecosystems based on simulation modeling methods

Д. А. ФокинаRussian Economic University named after G.V. Plekhanov; Siberian Federal UniversityA. ZinchenkoMoscow Aviation Institute (national research university) MAI
2026
ABI

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Amid increasing external economic restrictions, the need to achieve technological sovereignty, and the transition to Industry 5.0, industrial ecosystems are becoming the dominant form of production organization in the Russian economy. This article presents the results of an economic and statistical study of Russian industrial enterprises, substantiating the need to develop new tools for forecasting the development of industrial ecosystems. A unique approach to integrating simulation modeling methods into a unified forecasting platform is proposed. Key research concepts adapted to the specifics of industrial enterprises are revealed. The importance and relevance of the proposed tools for ensuring the sustainable development of industrial ecosystems in the context of digital transformation and the circular economy are substantiated.

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