Developing an Agent-Based Model for Intelligence Transformation of a Regional Industrial Complex

Andrey Shorikov (), Grigoriy Korovin () and Dmitry Sirotin ()
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Andrey Shorikov: Institute of Economics of the Ural Branch of the Russian Academy of Sciences
Grigoriy Korovin: Institute of Economics of the Ural Branch of the Russian Academy of Sciences
Dmitry Sirotin: Institute of Economics of the Ural Branch of the Russian Academy of Sciences

A chapter in The Future of Industry, 2024, pp 175-186 from Springer

Abstract: Abstract The industrial complex with its production, economic, and social connections is a complex object for research and modeling. The tasks of managing such structures are complicated by new challenges associated with Industry 5.0, technology humanization, and sustainable development requirements. The paper aims to develop an agent-based model for managing the industrial complex of a separate region. Three-level management architecture is proposed, including government authorities at the federal and regional levels, as well as the management level of enterprises (united by type of activity). The model is implemented as a software package for assessing industrial development scenarios and involves expansion in the form of a module for calculating the optimal step-by-step control of the industrial complex. Scenario calculations (detailed by the sector of industrial activity) were based on the proposed scenario of control actions according to the data from a region of the Russian Federation. The model and its software implementation can be used by regional authorities and scientific organizations for model calculations and conceptual assessment of the influence of individual control factors. The shortcomings of the model include the limited statistical base in the Russian Federation, which lacks indicators of industry development humanization.

Keywords: Industry; Agent-based model; Industrial management (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-66801-2_12

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DOI: 10.1007/978-3-031-66801-2_12

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