Abstract: This report discusses the processes of predicting the state and optimizing the management of the production potential of the region in the presence of the possibility of using a hierarchical agent-oriented control system. It is proposed to use a deterministic economic-mathematical model for the processes under consideration, in which the dynamics of the main factors (phase vectors) characterizing the state (potential) of industrial objects of the region as a whole, the municipalities that form it and specific industrial enterprises with a three-level spatial structure, is described by the corresponding vector linear discrete-time recurrent equations in the presence of control actions (controls). In the proposed management system, three levels of management decision-making are distinguished — the dominant (regional or first level of management), which is at the disposal of a generalized regional agent, the first subordinate (municipal or second level of management), which is at the disposal of municipal agents, and the second subordinate (the level of manufacturing enterprises or the third level of management), which is at the disposal of production agents. The control system is hierarchical, in which the choice of control of a generalized regional agent determines the resource capabilities of management of municipal and production agents, and the choice of control of a specific municipal agent determines the resource capabilities of control of the corresponding production agents. All agents of the proposed control system are a priori united by certain information and management links. The industrial potential of the region as a whole, its constituent municipalities and industrial enterprises is estimated by the corresponding indicators (linear objective functions) and all agents of the control system are interested in their maximum values. The paper presents formalizations and general schemes for solving the problems of predicting the state and optimizing the management of the region's production potential. The results obtained in the article can be used in the development and creation of intelligent computer systems for information support and management decision support for regional administrations.

Cite: Akberdina V.V. , Shorikov A.F.
A Tree-Level Hierarchical Agent-Oriented Model for Forecasting the State and Optimizing the Management of the Production Potential of the Region
In compilation Fourteenth International Hybrid Conference on Application of Mathematics in Technical and Natural Sciences (AMiTaNS'22), 22-27 June 2022, Albena. Book of Abstracts. – Sofia, Bulgaria., 2022. – C.5-5.

Dates:

Submitted:	Mar 10, 2022
Accepted:	May 12, 2022
Published print:	May 20, 2022
Published online:	May 20, 2022

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