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Network Modeling Method for Optimizing the Management of Digital Industrial Ecosystem Project Implementation Full article

Conference VI Международная научно-практическая конференция "Цифровая трансформация промышленности: тенденции, управление, стратегии"
16-17 Dec 2024 , г. Екатеринбург, Институт экономики УрО РАН
Journal Lecture Notes in Information Systems and Organisation
ISSN: 2195-4968 , E-ISSN: 2195-4976
Output data Year: 2025, Volume: 78, Pages: 177-191 Pages count : 15 DOI: 10.1007/978-3-032-00118-4_10
Tags Digital industrial ecosystem; Project implementation; Network economic; Mathematical modeling; Two-level multi-agent hierarchical control;·Control optimization
Authors Shorikov Andrey F. 1
Affiliations
1 Institute of Economics of the Ural Branch of the Russian Academy of Sciences

Funding (1)

1 Министерство науки и высшего образования РФ 0327-2024-0010

Abstract: The article considers the problem of implementing an digital industrial ecosystem project in the presence of several acceptable technologies for its implementation and corresponding vector objective functions for assessing of their quality. For a formalized description of optimization of project implementation management, a new formalization in the form of a two-level multi-agent hierarchical network economic and mathematical model is proposed. The identification of parameters, structural balanced interaction and optimization of the result of managing the implementation of processes of the studied digital industrial ecosystem project within the framework of the proposed two-level multi-agent hierarchical network model are described. The paper presents a methodology for solving the problem under consideration, which is implemented in the form of one-step operations that allow their algorithmization.
Cite: Shorikov A.F.
Network Modeling Method for Optimizing the Management of Digital Industrial Ecosystem Project Implementation
Lecture Notes in Information Systems and Organisation. 2025. V.78. P.177-191. DOI: 10.1007/978-3-032-00118-4_10
Dates:
Submitted: Jan 22, 2025
Accepted: May 14, 2025
Published print: Oct 1, 2025
Identifiers: No identifiers
Citing: Пока нет цитирований
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