MATEC Web Conf.
Volume 294, 20192nd International Scientific and Practical Conference “Energy-Optimal Technologies, Logistic and Safety on Transport” (EOT-2019)
|Number of page(s)||11|
|Section||Modern Technologies of Organization of International Transportations and Logistics|
|Published online||16 October 2019|
The Economic Guarantee of Logistic Connections Optimization at Railway Transport
Lviv Branch of DNURT, Department of Humanities and Social-Economic Training, I. Blazhkevych St., 12a, Lviv, Ukraine, 79052
2 M.S. Polyakov Institute of Geotechnical Mechanics of NAS of Ukraine, Simferopolska St., 2a, Dnipro, Ukraine, 49005
3 DNURT, Department of Economics and Management, Lazariana St., 2, Dnipro, Ukraine, 49010;
* Corresponding author: email@example.com
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.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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