Software and Analytical Complex for Supporting Balanced Development of Industrial Ecosystems
( Pp. 123-129)
More about authors
Mityakov Evgenii S.
Dr. Sci. (Econ.), Professor; Head, KB-9 Department
MIREA – Russian Technological University
Moscow, Russian Federation Smirnov Mikhail V. Cand. Sci. (Econ.); associate professor, KB-9 Department; MIREA – Russian Technological University; Moscow, Russian Federation Vladyko Irina Yu. Cand. Sci. (Econ.); associate professor, KB-9 Department; MIREA – Russian Technological University; Moscow, Russian Federation
MIREA – Russian Technological University
Moscow, Russian Federation Smirnov Mikhail V. Cand. Sci. (Econ.); associate professor, KB-9 Department; MIREA – Russian Technological University; Moscow, Russian Federation Vladyko Irina Yu. Cand. Sci. (Econ.); associate professor, KB-9 Department; MIREA – Russian Technological University; Moscow, Russian Federation
Abstract:
The article presents a concept of a software and analytical complex (SAC) designed to support the balanced development of industrial ecosystems. The architecture of the complex integrates modules for data collection, analytics, visualization, recommendation generation, and scenario analysis, enabling the consolidation of heterogeneous information on enterprises, processes, resources, and interconnections into a unified environment. Special attention is given to mechanisms of data consolidation and the integration of analytical tools that provide a comprehensive assessment of ecosystem sustainability. To ensure semantic consistency and reveal hidden dependencies, the complex incorporates an ontological knowledge model. The proposed SAC is aimed at enhancing interorganizational coordination, optimizing resource utilization, and supporting decision-making under uncertainty and dynamic external conditions.
How to Cite:
Mityakov E.S., Smirnov M.V., and Vladyko I.Yu. Software and analytical complex for supporting balanced development of industrial ecosystems. Computational Nanotechnology. 12, 3 (2025), 123–129. DOI: 10.33693/2313-223X-2025-12-3-123-129. EDN: BGUYZR
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Benitez G., Ayala N., Frank A. Industry 4.0 innovation ecosystems: An evolutionary perspective on value cocreation. International Journal of Production Economics. 2020. Vol. 228. P. 107735. DOI: 10.1016/j.ijpe.2020.107735.
Capilla R., Cioroaica E., Buhnova B., Bosch J. On autonomous dynamic software ecosystems. IEEE Transactions on Engineering Management. 2021. Pp. 1–15. DOI: 10.1109/TEM.2021.3116873.
Casavant T., Cote R. Using chemical process simulation to design industrial ecosystems. Journal of Cleaner Production. 2004. Vol. 12. No. 8–10. Pp. 901–908. DOI: 10.1016/J.JCLEPRO.2004.02.034.
Christensen V., Pauly D. ECOPATH II − a software for balancing steady-state ecosystem models and calculating network characteristics. Ecological Modelling. 1992. Vol. 61. No. 3–4. Pp. 169–185. DOI: 10.1016/0304-3800(92)90016-8.
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Larocque G., Bhatti J., Arsenault A. Integrated modelling software platform development for effective use of ecosystem models. Ecological Modelling. 2014. Vol. 306. Pp. 318–325. DOI: 10.1016/J.ECOLMODEL.2014.08.003.
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Kleiner G.B. Industrial ecosystems: A look into the future. The Economic Revival of Russia. 2018. No. 2 (56). Pp. 53–62. (In Rus.)
Mityakov E.S., Mityakov S.N. Methodical approach to the analysis of the efficiency of regional industrial ecosystems. Economics of Region. 2024. Vol. 20. No. 3. Pp. 836–850. (In Rus.). DOI: 10.17059/ekon.reg.2024-3-15.
Yakimova V.A., Pankova S.V., Khmura S.V. Managing balanced development of a regional IT park ecosystem. Razvitie territoriy. 2024. No. 4 (38). Pp. 68–81. (In Rus.). DOI: 10.32324/2412-8945-2024-4-68-81.
Industrial platforms and ecosystems. Monograph. V.V. Akberdina (ed.). Yekaterinburg: Institute of Economics, Ural Branch of the Russian Academy of Sciences, 2024. 278 p.
Richards M., Ford N., Sadalage P., Dehghani J. Modern software architecture: Complex trade-offs. Moscow: DMK Press, 2025. 480 p. ISBN: 978-5-4461-2024-6.
Smirnov M.V., Mityakov E.S. Development of a knowledge base model for managing sustainable development of industrial ecosystems. Computational Nanotechnology. 2025. Vol. 12. No. 1. Pp. 129–137. (In Rus.). DOI: 10.33693/2313-223X-2025-12-1-129-137.
Keywords:
software and analytical complex, industrial ecosystems, balanced development, ontological model, knowledge management, scenario modeling, data visualization.
