Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/90002
Title: Network models for solving the problem of multicriterial adaptive optimization of investment projects control with several acceptable technologies
Authors: Shorikov, A. F.
Butsenko, E. V.
Issue Date: 2017
Publisher: American Institute of Physics Inc.
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.
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).
URI: http://elar.urfu.ru/handle/10995/90002
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85031688709
WOS ID: 000426902700031
PURE ID: 2211872
ISSN: 0094-243X
ISBN: 9780735415799
DOI: 10.1063/1.5007385
metadata.dc.description.sponsorship: This work was supported by the Russian Basic Research Foundation, project no. 17-01-00315.
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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