Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/75636
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dc.contributor.authorAksyonov, K.en
dc.contributor.authorBykov, E.en
dc.contributor.authorAksyonova, O.en
dc.contributor.authorNevolina, A.en
dc.contributor.authorGoncharova, N.en
dc.date.accessioned2024-03-21T08:51:25Z-
dc.date.available2024-03-21T08:51:25Z-
dc.date.issued2017-
dc.identifier.citationHybrid Agents Implementation for the Control of the Construction Company / K. Aksyonov, E. Bykov, O. Aksyonova et al. // Procedia Computer Science. — 2017. — Vol. 105. — P. 215-220.en
dc.identifier.issn1877-0509-
dc.identifier.other67918id
dc.identifier.otherhttp://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85016095509m
dc.identifier.otherhttps://doi.org/10.1016/j.procs.2017.01.213pdf
dc.identifier.otherc382c055-2721-42ae-84d3-f47965fdb3fapure_uuid
dc.identifier.urihttp://elar.urfu.ru/handle/10995/75636-
dc.description.abstractPlanning the project duration together with separate works is an essential element of managing the construction. The final duration depends on multiple factors, including the funds, customer requests, and capabilities of the construction company. In order to avoid additional costs in penalties or additional expenses, the management needs to estimate the real construction duration in advance, before the contract is signed. Further on, these terms need to be monitored both in whole and for the specific jobs in order to be able to edit further stages with regard of the remaining time, resources and used resources ratio. The development of a decision support system for the construction company is a pressing problem due to the growing demand in decision making persons' labor automation in planning and monitoring the construction processes. The paper presents the model and the application experience for such a system. © 2017 The Authors.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherElsevier B.V.en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightscc-by-nc-ndother
dc.rightsgoldother
dc.sourceProcedia Computer Scienceen
dc.subjectCONSTRUCTIONen
dc.subjectCONTROLen
dc.subjectDECISION SUPPORTen
dc.subjectMULTI-AGENT SIMULATIONen
dc.subjectPLANNINGen
dc.subjectSUBCONTRACTen
dc.subjectARTIFICIAL INTELLIGENCEen
dc.subjectCONSTRUCTIONen
dc.subjectCONSTRUCTION INDUSTRYen
dc.subjectCONTROLen
dc.subjectDECISION MAKINGen
dc.subjectINTELLIGENT CONTROLen
dc.subjectMULTI AGENT SYSTEMSen
dc.subjectPLANNINGen
dc.subjectROBOTICSen
dc.subjectSMART SENSORSen
dc.subjectAPPLICATION EXPERIENCESen
dc.subjectCONSTRUCTION COMPANIESen
dc.subjectCONSTRUCTION DURATIONen
dc.subjectDECISION MAKING PERSONSen
dc.subjectDECISION SUPPORTSen
dc.subjectMULTI AGENT SIMULATIONen
dc.subjectPLANNING AND MONITORINGen
dc.subjectSUBCONTRACTen
dc.subjectDECISION SUPPORT SYSTEMSen
dc.titleHybrid Agents Implementation for the Control of the Construction Companyen
dc.typeConference Paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.conference.nameIEEE International Symposium on Robotics and Intelligent Sensors, IRIS 2016en
dc.conference.date17 December 2016 through 20 December 2016-
dc.identifier.doi10.1016/j.procs.2017.01.213-
dc.identifier.scopus85016095509-
local.affiliationUral Federal University, Mira st. 19, Ekaterinburg, 620000, Russian Federationen
local.contributor.employeeАксенов Константин Александровичru
local.contributor.employeeБыков Евгений Алексеевичru
local.contributor.employeeАксенова Ольга Петровнаru
local.contributor.employeeНеволина Алена Леонидовнаru
local.contributor.employeeГончарова Наталья Вадимовнаru
local.description.firstpage215-
local.description.lastpage220-
local.volume105-
dc.identifier.wos000398830900035-
local.identifier.pure1687883-
local.identifier.eid2-s2.0-85016095509-
local.identifier.wosWOS:000398830900035-
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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