Управление территориально связанными системами отраслевого кластера на основе пространственно-временной информации
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Management of geographically connected systems of an industry cluster based on spatial and temporal information

Goryachko V.V.   Borzova A.S.   idChoporov O.N.

UDC 004.9
DOI: 10.26102/2310-6018/2022.38.3.029

  • Abstract
  • List of references
  • About authors

One of the urgent problems of modern management theory in organizational systems is the development of effective algorithmic procedures for managing geographically related organizational systems in which the effectiveness of geographically distributed objects operation of the main organizational system depends on the extent to which the results of their activities influence the objects of the organizational system associated with the main one. As part of this study, the authors propose problem oriented procedures for the analysis and management of geographically connected systems of an industry cluster based on spatial and temporal information including cartographic visualization of the results of a GIS-based monitoring assessment of the operation of the objects within the main and associated systems and an expert analysis of object effective interaction intensity based on GIS-oriented spatial and temporal information with consideration to long-term planning of volumetric indicators. Selection of the option that best ensures the interaction of the main and related systems within the industry cluster as well as distribution of volume indicators of a variant between objects within an industry cluster are also suggested. The article presents the results of employing the proposed methodology in the practice of managing the effective interaction of geographically related systems included in the civil aviation cluster where the branch system of higher and vocational education is the main and the geographically connected system is the system of airports of the Russian Federation. The findings confirmed the effectiveness of the proposed approach which makes it possible to recommend it for the use in the practice of managing territorial connected organizational systems of various industry clusters.

1. Aizenzon S.E., Barkalov S.A., Burkov V.N., Leontiev S.V. Models and mechanisms of regional management. M.: Library of OAO IKG ROEL Consulting; 2002. 370 p. (In Russ.).

2. Burkov V.N., Kuznetsov N.A., Novikov D.A. Management mechanisms in network structures. Avtomatika i Telemekhanika = Automation and Telemechanics. 2002;12:96–115. (In Russ.).

3. Bolgova M.A., Lvovich Ya.E. , Choporov O.N. An Algorithm for Making Management Decisions in the Interobject Distribution of Resource Support in the Conditions of Implementing a Leadership Strategy in a Network Organizational System. Vestnik Rossiyskogo novogo universiteta. Seriya «Slozhnyye sistemy: modeli, analiz i upravleniye» = Bulletin of the Russian New University. Series «Complex Systems: Models, Analysis and Control». 2021;1:75–78. (In Russ.).

4. Kashirina I.L., Lvovich Ya.E., Sorokin S.O. Models and numerical methods for optimizing the formation of an efficient network system with a cluster structure. Informatsionnyye tekhnologii = Information Technology. 2015;9:657–661. (In Russ.).

5. Kashirina I.L., Lvovich Ya.E. , Shvindt A.N. Network-based simulation of the results monitoring evaluation of activity of universities. Modelirovaniye, optimizatsiya i informatsionnyye tekhnologii = Modeling, Optimization and Information Technology. 2017;5(4):359–371. Available from: https://moitvivt.ru/ru/journal/pdf?id=416. (In Russ.).

6. Lvovich I.Ya., Lvovich Ya.E., Frolov V.N. Information technologies for modeling and optimization: a brief theory and applications. Voronezh: CPI «Scientific Book»; 2016. 444 p. (In Russ.).

7. Novikov D.A. Theory of management of organizational systems. M.: Fizmatlit; 2007. 584 p. (In Russ.).

8. Goryachko V.V., Kostrova V.N., Lvovich I.Ya. Algorithmization of the choice of performance indicators of the university when managing its position in the rating system. Vestnik Voronezhskogo gosudarstvennogo tekhnicheskogo universiteta = Bulletin of the Voronezh State Technical University. 2016;12(6):68–76. (In Russ.).

9. Goryachko V.V. Algorithmization of intellectual support for making managerial decisions to take into account the significance of objects of geographically related organizational systems. Vestnik RosNOU: Seriya «Slozhnyye sistemy: modeli, analiz i upravleniye» = Bulletin of RosNOU: Series «Complex systems: models, analysis and management». 2020;1:64–71. (In Russ.).

10. Goryachko V.V., Lvovich Ya.E. Imitation experiment on structural and parametric identification of models of integrated assessment of monitoring-rating information on higher educational institutions activities. Modelirovaniye, optimizatsiya i informatsionnyye tekhnologii = Modeling, Optimization and Information Technology. 2018;6(1). Available from: https://moitvivt.ru/ru/journal/pdf?id=457. (In Russ.).

11. Goryachko V.V., Lvovich E.M. Characterization of geographically related organizational systems and approaches to the intellectualization of their management. Modelirovaniye, optimizatsiya i informatsionnyye tekhnologii = Modeling, Optimization and Information Technology. 2019;7(3). Available from: https://moitvivt.ru/ru/journal/pdf?id=650. (In Russ.).

12. Lvovich I.Ya., Mikhel A.A. Optimization of financial resources for the training of personnel with higher education. FES: Finansy. Ekonomika. Strategiya. Seriya «Innovatsionnaya ekonomika: chelovecheskoye izmereniye» = FES: Finance. Economy. Strategy. Series «Innovative Economy: Human Dimension». 2014;9:10–16. (In Russ.).

13. Goryachko V.V. Identification of a two-level model of GIS-oriented monitoring and rating assessment in the university management system. Vestnik Voronezhskogo instituta vysokikh tekhnologiy = Bulletin of the Voronezh Institute of High Technologies. 2018;25(2):21–24. (In Russ.).

14. Goryachko V.V., Preobrazhensky A.P., Choporov O.N. Optimization of managerial decision-making using the results of the intensity of territorial interaction of connected systems. Certificate of registration of the computer program No. 2020612546 dated February 26, 2020. Moscow: Rospatent; 2020. (In Russ.).

Goryachko Vyacheslav Vyacheslavovich

Lomonosov Moscow State University

Moscow, Russian Federation

Borzova Anzhela Sergeevna
Doctor of Technical Sciences, docent

Moscow State Technical University of Civil Aviation

Moscow, Russian Federation

Choporov Oleg Nikolaevich
Doctor of Technical Sciences, Professor
Email: choporov_oleg@mail.ru

WoS | Scopus | ORCID |

N.N.Burdenko Voronezh State Medical University
Voronezh State Technical University

Voronezh, Russian Federation

Keywords: organizational systems, management of geographically connected systems, optimization, decision making support, industry cluster, education system, civil aviation, spatial and temporal information

For citation: Goryachko V.V. Borzova A.S. Choporov O.N. Management of geographically connected systems of an industry cluster based on spatial and temporal information. Modeling, Optimization and Information Technology. 2022;10(3). Available from: https://moitvivt.ru/ru/journal/pdf?id=1245 DOI: 10.26102/2310-6018/2022.38.3.029 (In Russ).

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Full text in PDF

Received 16.09.2022

Revised 23.09.2022

Accepted 26.09.2022

Published 30.09.2022