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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2022 Issue 5, Pages 102–132 (Mi at15958)

This article is cited in 2 papers

Managing large-scale projects in a mixed economy

F. I. Ereshkoa, A. Yu. Mushkovb, N. I. Turkoc, A. D. Tsvirkund

a Federal Research Center “Computer Science and Control,” Russian Academy of Sciences, Moscow, 119333 Russia
b Federal State Unitary Enterprise “VNII ‘Tsentr’ ”, Moscow, 123242 Russia
c Rostec State Corporation, Moscow, 119180 Russia
d Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, 117997 Russia

Abstract: The work continues the research by the present authors on the management of industrial and infrastructure systems in accordance with the global trend in the digitalization of the economy. A description of the initial fundamental foundations of the ongoing developments and a review of domestic experience in the use of mathematical models, information and communication technologies, and large amounts of information in the management of systems are given. The issues of centralization and decentralization of control in complex systems are considered. Theoretical constructions of decision making are given to analyze the prospects for the development of partnership between the state and business within the framework of given legal norms. A block of conceptual models corresponding to the level of planning of large-scale organizational systems is given, issues of data preparation and development of algorithmic support, and a combination of macro- and micro-descriptions of economic systems are considered.

Keywords: systems analysis, decision-making, game theory, directive management, economic mechanism, federal law, conceptual model, coordination of interests of state and business, information support.

Presented by the member of Editorial Board: A. A. Galyaev

Received: 02.09.2021
Revised: 12.11.2021
Accepted: 26.01.2022

DOI: 10.31857/S0005231022050087


 English version:
Automation and Remote Control, 2022, 83:5, 755–779


© Steklov Math. Inst. of RAS, 2024