Тип публикации: статья из журнала

Год издания: 2023

Идентификатор DOI: 10.3390/a16100460

Аннотация: <jats:p>The aim of this study is to solve the problem of increasing the efficiency of fuel and energy complex enterprises. Because such enterprises are complex systems, it is difficult to optimize their work, taking into account all the technical indicators of such enterprises. This study proposes to solve this problem by defining Показать полностьюan algorithm using the data envelopment analysis (DEA) method. In particular, the algorithm was applied in heating systems using the example of a combined heat and power plant, where the DEA method had not previously been used. Experiments were carried out to improve the efficiency of the combined heat and power plant. Efficiency indicators were calculated, changing inputs and outputs of the model according to the study case to achieve the maximum efficiency of the system. The Charnes; Cooper and Rhodes; and the Banker, Charnes, and Cooper models were tested with good results. The presented methodology and experimental results enabled the DEA method to be applied for the first time to improve the efficiency of fuel and energy companies.</jats:p>

Журнал: Algorithms

Выпуск журнала: Т.16, №10

Номера страниц: 460

ISSN журнала: 19994893

• Pokushko Mariia (Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk 660037, Russia)
• Stupina Alena (Siberian Fire and Rescue Academy of GPS MES, Zheleznogorsk, Severnaya 662972, Russia)
• Medina-Bulo Inmaculada (Superior Engineering School, University of Cadiz, Puerto Real, 11519 Cadiz, Spain)
• Ezhemanskaya Svetlana (Institute of Business Process Management, Siberian Federal University, Krasnoyarsk 660041, Russia)
• Kuzmich Roman (Institute of Business Process Management, Siberian Federal University, Krasnoyarsk 660041, Russia)
• Pokushko Roman (Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk 660037, Russia)

• Ядро РИНЦ (eLIBRARY.RU)