Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/132331
Title: Development of an Automated System for Analysis, Modeling, and Decision-Making for Metallurgical Enterprise
Authors: Aksyonov, K.
Antonova, A.
Issue Date: 2022
Publisher: American Institute of Physics Inc.
Citation: Aksyonov, K & Antonova, A 2022, Development of an Automated System for Analysis, Modeling, and Decision-Making for Metallurgical Enterprise. в S Bratan & S Roshchupkin (ред.), International Conference on Modern Trends in Manufacturing Technologies and Equipment 2021, ICMTMTE 2021., 050028, AIP Conference Proceedings, Том. 2503, American Institute of Physics Inc., International Conference on Modern Trends in Manufacturing Technologies and Equipment 2021, ICMTMTE 2021, Sevastopol, Российская Федерация, 06/09/2021. https://doi.org/10.1063/5.0100034
Aksyonov, K., & Antonova, A. (2022). Development of an Automated System for Analysis, Modeling, and Decision-Making for Metallurgical Enterprise. в S. Bratan, & S. Roshchupkin (Ред.), International Conference on Modern Trends in Manufacturing Technologies and Equipment 2021, ICMTMTE 2021 [050028] (AIP Conference Proceedings; Том 2503). American Institute of Physics Inc.. https://doi.org/10.1063/5.0100034
Abstract: The paper presents development of an automated system for analysis, modeling, and decision-making for metallurgical production. When operating information systems at various levels of automation, there is a problem of system integration at the level of information exchange to support timely decision-making. Problem solutions are aimed at implementing a typical business process for changing (improving) the technological, logistic, and organizational processes of the enterprise. The paper describes a scheme for integrating the processes of metallurgical production improving based on the use of a multi-agent approach in development of modules of the automated system. The use of the multi-agent approach allows solving the problem of automating the processes of approval and decision-making through the communication of hybrid agents implementing the functionality of individual modules of the system. © 2022 American Institute of Physics Inc.. All rights reserved.
URI: http://elar.urfu.ru/handle/10995/132331
Access: info:eu-repo/semantics/openAccess
Conference name: 6 September 2021 through 10 September 2021
Conference date: International Conference on Modern Trends in Manufacturing Technologies and Equipment 2021, ICMTMTE 2021
SCOPUS ID: 85140290981
PURE ID: 31569124
a9a75785-31bc-4be8-b2a6-a10fe1ae4f20
ISSN: 0094-243X
ISBN: 978-073544221-4
DOI: 10.1063/5.0100034
metadata.dc.description.sponsorship: Government Council on Grants, Russian Federation
A decision support method based on a multi-agent approach was used when developing the AMD system. This method is supported by the BPsim software package [18], which allows describing hybrid agents using production and frame knowledge bases. The BPsim tool includes the following integrated products: systems for dynamic situation modeling and decision support, CASE tool.
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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