Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/132331
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAksyonov, K.en
dc.contributor.authorAntonova, A.en
dc.date.accessioned2024-04-22T15:52:39Z-
dc.date.available2024-04-22T15:52:39Z-
dc.date.issued2022-
dc.identifier.citationAksyonov, 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/10.1063/5.0100034harvard_pure
dc.identifier.citationAksyonov, 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/10.1063/5.0100034apa_pure
dc.identifier.isbn978-073544221-4
dc.identifier.issn0094-243X
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access; Bronze Open Access3
dc.identifier.otherhttps://aip.scitation.org/doi/pdf/10.1063/5.01000341
dc.identifier.otherhttps://aip.scitation.org/doi/pdf/10.1063/5.0100034pdf
dc.identifier.urihttp://elar.urfu.ru/handle/10995/132331-
dc.description.abstractThe 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.en
dc.description.sponsorshipGovernment Council on Grants, Russian Federationen
dc.description.sponsorshipA 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.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherAmerican Institute of Physics Inc.en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceAIP Conference Proceedings2
dc.sourceAIP Conference Proceedingsen
dc.titleDevelopment of an Automated System for Analysis, Modeling, and Decision-Making for Metallurgical Enterpriseen
dc.typeConference paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.conference.name6 September 2021 through 10 September 2021en
dc.conference.dateInternational Conference on Modern Trends in Manufacturing Technologies and Equipment 2021, ICMTMTE 2021
dc.identifier.doi10.1063/5.0100034-
dc.identifier.scopus85140290981-
local.contributor.employeeAksyonov K., Ural Federal University, Information Technologies and Automation Department, Mira str. 19, Yekaterinburg, 620000, Russian Federationen
local.contributor.employeeAntonova A., Ural Federal University, Information Technologies and Automation Department, Mira str. 19, Yekaterinburg, 620000, Russian Federationen
local.volume2503
local.contributor.departmentUral Federal University, Information Technologies and Automation Department, Mira str. 19, Yekaterinburg, 620000, Russian Federationen
local.identifier.purea9a75785-31bc-4be8-b2a6-a10fe1ae4f20uuid
local.identifier.pure31569124-
local.description.order50028
local.identifier.eid2-s2.0-85140290981-
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

Files in This Item:
File Description SizeFormat 
2-s2.0-85140290981.pdf607,58 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.