The opportunities of using a hybrid approach for modeling socio-economic and sociotechnical systems

Authors

DOI:

https://doi.org/10.17308/sait/1995-5499/2022/3/73-86

Keywords:

socio-economic systems, modeling of socio-economic systems, hybrid modeling, modeling tools, digital modeling, types of hybridization, application of hybrid models

Abstract

This work is aimed at preparing a methodological basis for modeling socio-economic and sociotechnical systems. The types of simulation modeling are considered from the point of view of selecting the optimal solution depending on the characteristics of the object of research and the purpose of modeling. Among the considered models, as a tool for modeling socio-economic and sociotechnical systems, the greatest attention is paid to hybrid models that allow studying the analyzed object from different sides and at different levels of abstraction, combining well-known simulation approaches. In addition, hybrid models are used in many areas, such as healthcare, economics, ecology, marketing, industrial enterprises and production systems, which ensures their versatility, relevance and effectiveness of this approach. Within the framework of the study, the articles of the Scopus database of scientific publications devoted to the modeling of socio-economic and sociotechnical systems, simulation modeling and hybrid models were analyzed. This article discusses the basic paradigms of simulation modeling and the methods used to model socio-economic and so ciotechnical systems, classifies by model type and hybridization, highlights possible combinations of types of hybridization and the applicability of the types considered, reveals the trend towards using hybrid modeling in recent decades as a means to describe complex social systems from different points of view, where the results of campaigns complement each other, also, proposals are presented on the integration of technical modeling tools into socio-economic and sociotechnical systems to ensure the determinacy of the system. The results of this study can be used when choosing a tool for designing and predicting the behavior of various socio-economic and sociotechnical systems.

Author Biographies

  • Marina V. Bolsunovskaya, Peter the Great St. Petersburg Polytechnic University

    Ph.D. in Technology, Head of Laboratory of Industrial Systems for Streaming Data Processing, Peter the Great St. Petersburg Polytechnic University, Russian Federation

  • Aleksei M. Gintciak, Peter the Great St. Petersburg Polytechnic University

    Head of Laboratory of Digital modeling of Industrial systems, Peter the Great St. Petersburg Polytechnic University, Russian Federation

  • Zhanna V. Burlutskaya, Peter the Great St. Petersburg Polytechnic University

    Junior researcher of Laboratory of Digital modeling of Industrial systems, Peter the Great St. Petersburg Polytechnic University, Russian Federation

  • Alexandra A. Petryaeva, Peter the Great St. Petersburg Polytechnic University

    Junior researcher of Laboratory of Digital modeling of Industrial systems, Peter the Great St. Petersburg Polytechnic University, Russian Federation

  • Daria A. Zubkova, Peter the Great St. Petersburg Polytechnic University

    Junior researcher of Laboratory of Digital modeling of Industrial systems, Peter the Great St. Petersburg Polytechnic University, Russian Federation

  • Mikhail B. Uspenskiy, Peter the Great St. Petersburg Polytechnic University

    Leading researcher of Laboratory of Digital modeling of Industrial systems, Peter the Great St. Petersburg Polytechnic University, Russian Federation

  • Inna A. Seledtsova, Peter the Great St. Petersburg Polytechnic University

    Senior Lecturer at School of Cyberphysical Systems and Control, Peter the Great St. Petersburg Polytechnic University, Russian Federation

References

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Published

2022-11-09

Issue

Section

System Analysis of Socio-Economic Processes

How to Cite

The opportunities of using a hybrid approach for modeling socio-economic and sociotechnical systems. (2022). Proceedings of Voronezh State University. Series: Systems Analysis and Information Technologies, 3, 73-86. https://doi.org/10.17308/sait/1995-5499/2022/3/73-86