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http://elar.urfu.ru/handle/10995/90002
Полная запись метаданных
Поле DC | Значение | Язык |
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dc.contributor.author | Shorikov, A. F. | en |
dc.contributor.author | Butsenko, E. V. | en |
dc.date.accessioned | 2020-09-29T09:45:35Z | - |
dc.date.available | 2020-09-29T09:45:35Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Shorikov, A. F. Network models for solving the problem of multicriterial adaptive optimization of investment projects control with several acceptable technologies / A. F. Shorikov, E. V. Butsenko. — DOI 10.1063/1.5007385 // AIP Conference Proceedings. — 2017. — Iss. 1895. — 50013. | en |
dc.identifier.isbn | 9780735415799 | - |
dc.identifier.issn | 0094-243X | - |
dc.identifier.other | https://aip.scitation.org/doi/pdf/10.1063/1.5007385 | |
dc.identifier.other | 1 | good_DOI |
dc.identifier.other | 9b8bdb04-40d3-4f00-a504-04426a0c6a05 | pure_uuid |
dc.identifier.other | http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85031688709 | m |
dc.identifier.uri | http://elar.urfu.ru/handle/10995/90002 | - |
dc.description.abstract | This paper discusses the problem of multicriterial adaptive optimization the control of investment projects in the presence of several technologies. On the basis of network modeling proposed a new economic and mathematical model and a method for solving the problem of multicriterial adaptive optimization the control of investment projects in the presence of several technologies. Network economic and mathematical modeling allows you to determine the optimal time and calendar schedule for the implementation of the investment project and serves as an instrument to increase the economic potential and competitiveness of the enterprise. On a meaningful practical example, the processes of forming network models are shown, including the definition of the sequence of actions of a particular investment projecting process, the network-based work schedules are constructed. The calculation of the parameters of network models is carried out. Optimal (critical) paths have been formed and the optimal time for implementing the chosen technologies of the investment project has been calculated. It also shows the selection of the optimal technology from a set of possible technologies for project implementation, taking into account the time and cost of the work. The proposed model and method for solving the problem of managing investment projects can serve as a basis for the development, creation and application of appropriate computer information systems to support the adoption of managerial decisions by business people. © 2017 Author(s). | en |
dc.description.sponsorship | This work was supported by the Russian Basic Research Foundation, project no. 17-01-00315. | en |
dc.format.mimetype | application/pdf | en |
dc.language.iso | en | en |
dc.publisher | American Institute of Physics Inc. | en |
dc.rights | info:eu-repo/semantics/openAccess | en |
dc.source | AIP Conference Proceedings | en |
dc.title | Network models for solving the problem of multicriterial adaptive optimization of investment projects control with several acceptable technologies | en |
dc.type | Conference Paper | en |
dc.type | info:eu-repo/semantics/conferenceObject | en |
dc.type | info:eu-repo/semantics/publishedVersion | en |
dc.identifier.doi | 10.1063/1.5007385 | - |
dc.identifier.scopus | 85031688709 | - |
local.affiliation | Ural Federal University, Institute of Mathematics and Mechanics UB RAS, Ekaterinburg, Russian Federation | en |
local.affiliation | Ural State University of Economics, Ekaterinburg, Russian Federation | en |
local.contributor.employee | Shorikov, A.F., Ural Federal University, Institute of Mathematics and Mechanics UB RAS, Ekaterinburg, Russian Federation | ru |
local.contributor.employee | Butsenko, E.V., Ural State University of Economics, Ekaterinburg, Russian Federation | ru |
local.issue | 1895 | - |
dc.identifier.wos | 000426902700031 | - |
local.identifier.pure | 2211872 | - |
local.description.order | 50013 | - |
local.identifier.eid | 2-s2.0-85031688709 | - |
local.fund.rffi | 17-01-00315 | - |
local.identifier.wos | WOS:000426902700031 | - |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
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10.1063-1.5007385.pdf | 532,21 kB | Adobe PDF | Просмотреть/Открыть |
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