Application of data envelopment analysis method for assessment of performance of enterprises in fuel and energy complex

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Conference on High-Tech and Innovations in Research and Manufacturing, HIRM 2019

Год издания: 2019

Идентификатор DOI: 10.1088/1742-6596/1353/1/012140

Аннотация: The article proposes the DEA method to solve the problem of estimating the efficiency of the heat supply system in Krasnoyarsk, where several enterprises provide heat supply services. The architecture of the universal DSS has been modified using the DEA method. The application of DSS with such architecture made it possible to make more informed decisions regarding the estimation of the enterprise safety with respect to the environment. The article also shows the efficiency of the DEA method in solving the problem of estimating the efficiency of the heating system in Krasnoyarsk. The features of using this method in decision support systems are given. © 2019 Published under licence by IOP Publishing Ltd.

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Издание

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1353, Is. 1

Номера страниц: 12140

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

Авторы

  • Pokushko M. (Siberian Federal University, 3 Vuzovsky Lane, Krasnoyarsk, 660025, Russian Federation)
  • Stupina A. (Siberian Federal University, 3 Vuzovsky Lane, Krasnoyarsk, 660025, Russian Federation, Krasnoyarsk State Agrarian University, 90 Mira Avenue, Krasnoyarsk, 660049, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarskii rabochii Avenue, Krasnoyarsk, 660037, Russian Federation)
  • Medina-Bulo I. (University of Cadiz, University of Cadiz Street 10, Puerto Real, 11519, Spain)
  • Dresvianskii E. (Siberian Federal University, 26 a Kerensky Street, Krasnoyarsk, 660074, Russian Federation)
  • Karaseva M. (Siberian Federal University, 3 Vuzovsky Lane, Krasnoyarsk, 660025, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarskii rabochii Avenue, Krasnoyarsk, 660037, Russian Federation)

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