Please use this identifier to cite or link to this item: http://eadnurt.diit.edu.ua/jspui/handle/123456789/11603
Title: The Economic Guarantee of Logistic Connections Optimization at Railway Transport
Authors: Kopytko, Vasyl
Dziuba, Sergei
Mìshchenko, Maxym
Shargun, Tetyana
Keywords: logistic connections
railway transport
economic guarantee
КГП (ЛФ)
КЕМ
Issue Date: 2019
Publisher: Dnipro National University of Railway Transport named after Academician V. Lazaryan
Citation: The Economic Guarantee of Logistic Connections Optimization at Railway Transport [Electronic resource] / Vasyl Kopytko, Sergei Dziuba, Maxym Mìshchenko, Tetyana Shargun // MATEC Web of Conferences. – 2019. – Vol. 294 : 2nd International Scientific and Practical Conference “Energy-Optimal Technologies, Logistic and Safety on Transport” (EOT-2019). – P. 1–11. – Access Mode: https://www.matec-conferences.org/articles/matecconf/pdf/2019/43/matecconf_eot18_04016.pdf (21.10.2019). – DOI: 10.1051/matecconf/201929404016.
Abstract: EN: Abstract. The efficiency increasing of railway transport functioning is a main factor in the economic growth of the national economy. Material reserves are the main factor that defines the strategy of the enterprise and influences on the economic optimization level of logistic connections in general. Waste on deficiency and expense of storing the taken out from the main turnover material reserves redouble the economic situation. In this research the sources of the arising an uncertainty by taking a decision about economic optimization of logistic connections and working out methods of need determination in conditions of a certain uncertainty that will be led to improvement of the economic effectiveness of activity are determined. The best methods that may be used for this purpose are analysis of temporary series, multiple regression and correlation analysis, pattern recognition. The paper presents the results of research that allow, based on the built neuro-fuzzy model, to evaluate the dependence of macroeconomic indicators of the national economy of Ukraine on the indicators characterizing its economic situation in order to improve the control efficiency of logistics systems. The built neuro-fuzzy model, unlike existing models, allows reproducing the complex nonlinear dependences.
Description: V. Kopytko: ORCID 0000-0003-2457-1505, M. Mìshchenko: ORCID 0000-0003-0372-1957, T. Shargun: ORCID 0000-0002-6014-4941
URI: http://eadnurt.diit.edu.ua/jspui/handle/123456789/11603
https://www.matec-conferences.org/articles/matecconf/abs/2019/43/matecconf_eot18_04016/matecconf_eot18_04016.html
https://www.matec-conferences.org/articles/matecconf/pdf/2019/43/matecconf_eot18_04016.pdf
Other Identifiers: DOI: 10.1051/matecconf/201929404016
Appears in Collections:Статті КЕМ
Статті КГСЕП (ЛФ)
2nd International Scientific and Practical Conference “Energy-Optimal Technologies, Logistic and Safety on Transport” (EOT-2019)

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