Структурное моделирование при управлении в организационных системах с неоднородной структурой пространственных элементов
Работая с нашим сайтом, вы даете свое согласие на использование файлов cookie. Это необходимо для нормального функционирования сайта, показа целевой рекламы и анализа трафика. Статистика использования сайта отправляется в «Яндекс» и «Google»
Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Structural modeling for management in organizational systems with a heterogeneous structure of spatial elements

idLinkina A.V.

UDC 519.168
DOI: 10.26102/2310-6018/2024.47.4.041

  • Abstract
  • List of references
  • About authors

The article discusses the process of structural modeling in management in organizational systems with a heterogeneous structure of spatial elements. It is shown that the objects under study belong to territorially distributed organizational systems. Their peculiarity is the variety of spatial elements within a limited territory, which significantly influence the indicators of the effective functioning of the activity environment. Three classes of structural models are identified: object, system and process levels. The processes of structural modeling of the organizational system, its management, and management decision-making are examined in detail. It has been determined that the structural model of the organizational system reflects the interaction of the control center, objects with a heterogeneous structure of spatial elements, and a geographically distributed environment that unites objects into an organizational whole. The structural model of the management system is focused on the balanced interaction of the traditional management subsystem based on expert opinions and the decision support subsystem based on optimization of resource distribution, transformation and variation processes. The structural model of the process level is formed as an invariant sequence of algorithmic actions when making management decisions. It is substantiated that in order to meet the requirements of the control center it is necessary to combine algorithmic actions within the following stages: identification of classification signs of heterogeneity in the structure of spatial elements of objects, expert assessment of quantitative parameters for the formation of a multivariate choice model, generation of options for management decisions, expert selection on the generated set.

1. Linkina A.V., Lvovich Ya.E., Ryndin N.A. Optimization of decision-making in management in organizational systems with a heterogeneous structure of spatial elements. Vestnik of Russian New University. Series: Complex Systems: Models, Analysis, Management. 2024;(3):87–96. (In Russ.)

2. Linkina A.V., Roshin V.S. Development of functional algorithms and a conceptual model of an information and analytical system to support the management of the regional agro-industrial complex. Proceedings of the Voronezh State University of Engineering Technologies. 2023;85(4):115–121. (In Russ.). https://doi.org/10.20914/2310-1202-2023-4-115-121

3. Lvovich Ya.E., Pitolin A.V., Sapozhnikov G.P. Multi-method approach to the modeling of complex systems based on monitoring data analysis. Modeling, Optimization and Information Technology. 2019;7(2). (In Russ.). https://doi.org/10.26102/2310-6018/2019.25.2.023

4. Yuronen Yu.P., Yuronen E.A., Ivanov V.V., Kovalev I.V., Zelenkov P.V. The concept of creation of information system for environmental monitoring based on modern GIS-technologies and earth remote sensing data. In: IOP Conference Series: Materials Science and Engineering: Volume 94: International Scientific and Research Conference on Topical Issues in Aeronautics and Astronautics, 06–10 April 2015, Krasnoyarsk, Russia. Institute of Physics Publishing; 2015. https://doi.org/10.1088/1757-899X/94/1/012023

5. Petrosov D.A., Ignatenko V.A., Petrosova N.V., Zelenina A.N. Structural synthesis of innovative agrotechnological processes with the application of genetic algorithms. Modeling, Optimization and Information Technology. 2019;7(2). (In Russ.). https://doi.org/10.26102/2310-6018/2019.25.2.022

6. Borzov S.M., Potaturkin O.I. Detection of anthropogenic zones by means of spatial anomaly detection in large-scale satellite images. Optoelectronics, Instrumentation and Data Processing. 2012;48(5):515–521. https://doi.org/10.3103/S8756699012050123

7. Borzov S.M., Potaturkin A.O. Survey of spatial attributes’ effectiveness in classification of satellite imagery of various resolutions. Vestnik NSU. Series: Information Technologies. 2012;10(3):58–65. (In Russ.).

8. Marzouk M., Othman E., Metawie M. Managing demolition wastes using GIS and optimization techniques. Cleaner Engineering and Technology. 2024;23. https://doi.org/10.1016/j.clet.2024.100852

9. Zandniapour K., Soroush A., Khezerlu Agdam E., Sanaieian H. Integrating GIS, 3D-Isovist, and an NSGA-II multi-objective optimization algorithm for automation of design process in urban parks and public open spaces. International Journal of Geoheritage and Parks. 2024. https://doi.org/10.1016/j.ijgeop.2024.08.002

10. Li W., Winter P.L., Milburn L.-A., Padgett P.E. A dual-method approach toward measuring the built environment – sampling optimization, validity, and efficiency of using GIS and virtual auditing. Health & Place. 2021;67. https://doi.org/10.1016/j.healthplace.2020.102482

Linkina Anna Vyacheslavovna

ORCID |

Voronezh Institute of High Technologies

Voronezh, Russian Federation

Keywords: organizational system, management, heterogeneity of the structure of spatial elements, structural modeling, expert optimization modeling

For citation: Linkina A.V. Structural modeling for management in organizational systems with a heterogeneous structure of spatial elements. Modeling, Optimization and Information Technology. 2024;12(4). URL: https://moitvivt.ru/ru/journal/pdf?id=1785 DOI: 10.26102/2310-6018/2024.47.4.041 .

41

Full text in PDF

Received 12.12.2024

Revised 23.12.2024

Accepted 26.12.2024

Published 31.12.2024