Software and analytical complex for supporting balanced development of industrial ecosystems
- 作者: Mityakov E.S.1, Smirnov M.V.1, Vladyko I.Y.1
 - 
							隶属关系: 
							
- MIREA – Russian Technological University
 
 - 期: 卷 12, 编号 3 (2025)
 - 页面: 123-129
 - 栏目: INFORMATICS AND INFORMATION PROCESSING
 - URL: https://journals.eco-vector.com/2313-223X/article/view/695738
 - DOI: https://doi.org/10.33693/2313-223X-2025-12-3-123-129
 - EDN: https://elibrary.ru/BGUYZR
 - ID: 695738
 
如何引用文章
详细
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.
全文:
作者简介
Evgenii Mityakov
MIREA – Russian Technological University
														Email: mityakov@mirea.ru
				                	ORCID iD: 0000-0001-6579-0988
				                	SPIN 代码: 5691-8947
																		                								
Dr. Sci. (Econ.), Professor, Head, KB-9 Department
俄罗斯联邦, MoscowMikhail Smirnov
MIREA – Russian Technological University
														Email: mikhaelsmirnov@gmail.com
				                	ORCID iD: 0000-0001-5018-2963
				                	SPIN 代码: 4990-7320
																		                								
Cand. Sci. (Econ.), Associate professor, KB-9 Department
俄罗斯联邦, MoscowIrina Vladyko
MIREA – Russian Technological University
							编辑信件的主要联系方式.
							Email: kaneva@mirea.ru
				                	ORCID iD: 0000-0002-3577-7042
				                	SPIN 代码: 3396-8958
																		                								
Cand. Sci. (Econ.), Associate professor, KB-9 Department
俄罗斯联邦, Moscow参考
- 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.
 - 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.
 - 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.
 - 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.
 - 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.
 - 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.
 
补充文件
				
			
						
						
					
						
						




