Managing Large-Scale Projects in a Mixed Economy

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 experi...

Full description

Saved in:
Bibliographic Details
Published in:Automation and remote control 2022-05, Vol.83 (5), p.755-779
Main Authors: Ereshko, F. I., Mushkov, A. Yu, Turko, N. I., Tsvirkun, A. D.
Format: Article
Language:English
Subjects:
CAE) and Design
Calculus of Variations and Optimal Control
Optimization
Complex systems
Computer-Aided Engineering (CAD
Control
Decision analysis
Decision making
Decision theory
Digitization
Information management
Mathematical models
Mathematics
Mathematics and Statistics
Mechanical Engineering
Mechatronics
Norms
Robotics
Systems Theory
Thematic Issue
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0005-1179
1608-3032
DOI:10.1134/S0005117922050083