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Hierarchical Multi-agent Model for the Management of a Regional Industrial Network Complex

In: Digital Transformation in Industry

Author

Listed:
  • Andrey F. Shorikov

    (Institute of Economics of the Ural Branch of the Russian Academy of Sciences)

Abstract

The paper considers the description of the dynamics and optimization of the regional network industrial complex in the presence of risks (disturbances) and information uncertainty. For their formalization, the economic-mathematical model in the form of a two-level multi-agent hierarchical intelligent semantic network is proposed. It describes the formalization of the problems of parameter identification, structurally balanced interaction, the prognosis of development and optimization of a guaranteed (minimax approach) result of managing the state of objects and processes of the regional industrial network complex in the presence of risks (disturbances) and information uncertainty within the proposed two-level multi-agent hierarchical intelligent semantic network. The paper presents the methodology for solving the tasks under consideration. The economic-mathematical model of the regional network industrial complex proposed in the article makes it possible to develop algorithms for optimizing the processes under study, which can serve as the basis for creating intelligent management decision support systems.

Suggested Citation

  • Andrey F. Shorikov, 2023. "Hierarchical Multi-agent Model for the Management of a Regional Industrial Network Complex," Lecture Notes in Information Systems and Organization, in: Vikas Kumar & Grigorios L. Kyriakopoulos & Victoria Akberdina & Evgeny Kuzmin (ed.), Digital Transformation in Industry, pages 331-350, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-30351-7_25
    DOI: 10.1007/978-3-031-30351-7_25
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