Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/11280
Title: Research of the labor resource redeployment by mathematical methods of optimal management
Authors: Linets, G. I.
Линец, Г. И.
Minkina, T. V.
Минкина, Т. В.
Petrenko, V. I.
Петренко, В. И.
Keywords: Biotechnology;Multi agent systems;Optimal management;Mathematical method;Resource composition;Sustainable development
Issue Date: 2020
Publisher: Institute of Physics Publishing
Citation: Zaitseva, I.V., Shlaev, D.V., Poddubnaya, N.V., Linets, G.I., Minkina, T.V., Petrenko, V.I. Research of the labor resource redeployment by mathematical methods of optimal management // IOP Conference Series: Earth and Environmental Science. - 2020. - Volume 421. - Issue 3. - Номер статьи 032025
Series/Report no.: IOP Conference Series: Earth and Environmental Science
Abstract: The problem statement of labor resource redeployment to ensure the sustainability and balance of positive territorial transformations is due to the necessary in order to study the socio-economic factors of the labor resource development in modern economic conditions. The paper presents mathematical models of the labor resource redeployment. In the dynamic model of staff resource redeployment, the speed of redeployment, the dynamics of inter-resource composition and the limitations of the dynamic characteristics of the redeployment process are studied. The model of the territorial labor resource redeployment is a solution to the problem of placing workers with their multi-agent interaction and any finite number of employers on the network with a given set of vacancies for each employee that he wants to receive
URI: https://www.scopus.com/record/display.uri?eid=2-s2.0-85078479656&origin=resultslist&sort=plf-f&src=s&st1=Research+of+the+labor+resource+redeployment+by+mathematical+methods+of+optimal+management&st2=&sid=db0dd143cb1a2f84a0d64fbfd9888430&sot=b&sdt=b&sl=104&s=TITLE-ABS-KEY%28Research+of+the+labor+resource+redeployment+by+mathematical+methods+of+optimal+management%29&relpos=0&citeCnt=0&searchTerm=
http://hdl.handle.net/20.500.12258/11280
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