Please use this identifier to cite or link to this item: https://dspace.mnau.edu.ua/jspui/handle/123456789/14258
Title: The Mathematical Modeling Stages of Combining the Carriage of Goods for Indefinite, Fuzzy and Stochastic Parameters
Authors: Гавриш, Валерій Іванович
Havrysh, Valeriy
Kotenko, Sergiy
Nitsenko, Vitalii
Hanzhurenko, Iryna
Keywords: fuzzy and stochastic parameters
mathematical model
Mixed transportation
uncertainty
Internal Model
Input Delay
Nonlinear Systems
Materials Science: Materials Science (miscellaneous)
Engineering: Industrial and Manufacturing Engineering
Engineering: Mechanical Engineering
Engineering: Electrical and Electronic Engineering
Engineering: Mechanics of Materials
Engineering: Civil and Structural Engineering
Issue Date: 2020
Publisher: Mykolayiv National Agrarian University
National Academy of Sciences of Ukraine
Interregional Academy of Personnel Management
Citation: Kotenko, S., Nitsenko, V., Hanzhurenko, I., & Havrysh, V. (2020). The mathematical modeling stages of combining the carriage of goods for indefinite, fuzzy and stochastic parameters. International Journal of Integrated Engineering, 12(7), 173-180. doi:10.30880/ijie.2020.12.07.019
Abstract: Combined cargo transportation in Ukraine is characterized by the presence of uncertain risks. The aim of the article was to propose a mathematical model for choosing the mode of transportation that would correspond to the best value of the integral objective function in the presence of fuzzy, stochastic and uncertain risk parameters. The efficiency of the mathematical model provided the possibility of forming not only long-term forecasts that require significant time, but also short-term forecasts in real time. This allows to quickly change routes and conditions of transportation. Practical testing of the mathematical model revealed the assimilating nature of some uncertain risks. The results of the analysis are given in the article. The realization of such a risk leads to a radical change in all conditions of transportation. Long-term forecasts allow to predict new routes and conditions of transportation.
URI: https://dspace.mnau.edu.ua/jspui/handle/123456789/14258
Appears in Collections:Публікації науково-педагогічних працівників МНАУ у БД Scopus
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