Selecting optimal management decisions for a railway carrier using fuzzy logic
https://doi.org/10.46973/0201-727X_2024_2_173
Abstract
The paper proposed a methodology for assessing management decisions of a railway carrier company to attract a freight base and diversify business areas using the differentiation of shippers. The approach is based on the use of fuzzy logic in analyzing changes in transportation volumes and company income to describe the incompleteness of information about customer reactions. The efficiency of investments is used as a criterion, the approach takes into account the different reactions of customers to the choice of management decisions depending on the type of cargo, the change in transportation volumes and income is described by triangular fuzzy numbers. It is shown that at present, a more effective strategy is one that provides for the expansion of associated transportation and logistics services compared to solutions aimed at discounting the railway tariff.
About the Authors
G. A. Timofeeva
Ural State University of Railway Transport (USURT)
Russian Federation
Russian Federation
Timofeeva Galina Adolfovna, Doctor of Doctor of Physical and Mathematical Sciences, Professor, Head of the Chair, Chair «Natural Sciences»
A. D. Khazimullin
Ural State University of Railway Transport (USURT)
Russian Federation
Russian Federation
Khazimullin Artem Damirovich, Chair «Natural Sciences», Postgraduate Student
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Review
For citations:
Timofeeva G.A., Khazimullin A.D. Selecting optimal management decisions for a railway carrier using fuzzy logic. Vestnik Rostovskogo Gosudarstvennogo Universiteta Putej Soobshcheniya. 2024;(2):173–180. (In Russ.) https://doi.org/10.46973/0201-727X_2024_2_173
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