Software and analytical complex for supporting balanced development of industrial ecosystems
- Autores: Mityakov E.S.1, Smirnov M.V.1, Vladyko I.Y.1
 - 
							Afiliações: 
							
- MIREA – Russian Technological University
 
 - Edição: Volume 12, Nº 3 (2025)
 - Páginas: 123-129
 - Seção: 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
 
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Resumo
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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Sobre autores
Evgenii Mityakov
MIREA – Russian Technological University
														Email: mityakov@mirea.ru
				                	ORCID ID: 0000-0001-6579-0988
				                	Código SPIN: 5691-8947
																		                								
Dr. Sci. (Econ.), Professor, Head, KB-9 Department
Rússia, MoscowMikhail Smirnov
MIREA – Russian Technological University
														Email: mikhaelsmirnov@gmail.com
				                	ORCID ID: 0000-0001-5018-2963
				                	Código SPIN: 4990-7320
																		                								
Cand. Sci. (Econ.), Associate professor, KB-9 Department
Rússia, MoscowIrina Vladyko
MIREA – Russian Technological University
							Autor responsável pela correspondência
							Email: kaneva@mirea.ru
				                	ORCID ID: 0000-0002-3577-7042
				                	Código SPIN: 3396-8958
																		                								
Cand. Sci. (Econ.), Associate professor, KB-9 Department
Rússia, MoscowBibliografia
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