Problemy Upravleniya
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Probl. Upr.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Problemy Upravleniya, 2010, Issue 3, Pages 45–50 (Mi pu32)  

This article is cited in 1 scientific paper (total in 1 paper)

Control in the socio-economic systems

Company management system estimation on the basis of adaptive correlation to the environment

S. N. Masaev, M. G. Dorrer

Siberian State Technological University
References:
Abstract: The method of express audit of the structure and indicators of a company business processes based on the calculation of simple correlation between historic series of expenses is proposed.
Keywords: correlation, adaptation, process, system analysis, management.
Document Type: Article
UDC: 0065.012.123
Language: Russian
Citation: S. N. Masaev, M. G. Dorrer, “Company management system estimation on the basis of adaptive correlation to the environment”, Probl. Upr., 2010, no. 3, 45–50
Citation in format AMSBIB
\Bibitem{MasDor10}
\by S.~N.~Masaev, M.~G.~Dorrer
\paper Company management system estimation on the basis of adaptive correlation to the environment
\jour Probl. Upr.
\yr 2010
\issue 3
\pages 45--50
\mathnet{http://mi.mathnet.ru/pu32}
Linking options:
  • https://www.mathnet.ru/eng/pu32
  • https://www.mathnet.ru/eng/pu/v3/p45
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Проблемы управления
    Statistics & downloads:
    Abstract page:240
    Full-text PDF :84
    References:33
    First page:2
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024