GERT method and simulation modeling for probabilistic resource analysis in agricultural processes : доклад, тезисы доклада

Описание

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

Конференция: X International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-X 2024); Termez, Uzbekistan; Termez, Uzbekistan

Год издания: 2024

Идентификатор DOI: 10.1051/e3sconf/202454803022

Аннотация: <jats:p>The article presents the results of a probabilistic analysis of resources in agricultural processes. The authors performed a comparative analysis of the effectiveness of using the GERT method for assessing the probabilistic-time characteristics of processes with simulation modeling in the Anylogic environment. For the studyПоказать полностью, the process of “Approval of an application for the purchase of agricultural products” is described. This process is first presented in the ARIS eEPC notation, and then it is translated into the GERT network. Based on the obtained model, the process completion time was predicted. The mathematical expectation and variance of the process execution were calculated. Based on the results obtained, conclusions were drawn regarding labor intensity and accuracy. It is shown that the GERT network and the simulation model are close in accuracy. However, for the given task, the GERT method is a less labor-intensive and more accurate method. This study is important for managing and optimizing processes in agricultural enterprises to improve the efficiency of decision making.</jats:p>

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Издание

Журнал: E3S WEB OF CONFERENCES

Выпуск журнала: 548

Номера страниц: 03022

Место издания: Les Ulis

Персоны

  • Ikonnikova Mariya (Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia)
  • Kovalev Igor (Siberian Federal University, Krasnoyarsk, Russia)
  • Kovalev Dmitriy (National Research University "Tashkent Institute of Irrigation and Agricultural Mechanization Engineers", Tashkent, Uzbekistan)
  • Djumaeva Nozima (Bukhara State University, Bukhara, Uzbekistan)

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