Software and analytical complex for supporting balanced development of industrial ecosystems

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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.

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About the authors

Evgenii S. Mityakov

MIREA – Russian Technological University

Email: mityakov@mirea.ru
ORCID iD: 0000-0001-6579-0988
SPIN-code: 5691-8947

Dr. Sci. (Econ.), Professor, Head, KB-9 Department

Russian Federation, Moscow

Mikhail V. Smirnov

MIREA – Russian Technological University

Email: mikhaelsmirnov@gmail.com
ORCID iD: 0000-0001-5018-2963
SPIN-code: 4990-7320

Cand. Sci. (Econ.), Associate professor, KB-9 Department

Russian Federation, Moscow

Irina Yu. Vladyko

MIREA – Russian Technological University

Author for correspondence.
Email: kaneva@mirea.ru
ORCID iD: 0000-0002-3577-7042
SPIN-code: 3396-8958

Cand. Sci. (Econ.), Associate professor, KB-9 Department

Russian Federation, Moscow

References

  1. Basole R., Park H., Seuss C. Complex business ecosystem intelligence using AI-powered visual analytics. Decision Support Systems. 2023. Vol. 178. P. 114133. doi: 10.1016/j.dss.2023.114133.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. Gamidullaeva L., Tolstykh T., Bystrov A. et al. Cross-sectoral digital platform as a tool for innovation ecosystem development. Sustainability. 2021. Vol. 13. No. 21. P. 11686. doi: 10.3390/su132111686.
  7. 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.
  8. Yu W., Dillon T., Mostafa F. et al. A global manufacturing big data ecosystem for fault detection in predictive maintenance. IEEE Transactions on Industrial Informatics. 2020. Vol. 16. No. 1. Pp. 183–192. doi: 10.1109/TII.2019.2915846.
  9. Kleiner G.B. Industrial ecosystems: A look into the future. The Economic Revival of Russia. 2018. No. 2 (56). Pp. 53–62. (In Rus.)
  10. 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.
  11. 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.
  12. Industrial platforms and ecosystems. Monograph. V.V. Akberdina (ed.). Yekaterinburg: Institute of Economics, Ural Branch of the Russian Academy of Sciences, 2024. 278 p.
  13. 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.
  14. 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.

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2. Fig. 1. Example of an analytical panel of a software and analytical complex

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3. Fig. 2. An example of the operation of the recommendation module of the software and analytical complex

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4. Fig. 3. An example of the operation of the scenario analysis module of the software and analytical complex (comparison of two alternative development scenarios)

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