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Tetiana Butko

Publications -  9
Citations -  52

Tetiana Butko is an academic researcher. The author has contributed to research in topics: Train & Operational planning. The author has an hindex of 4, co-authored 7 publications receiving 37 citations.

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An improved method of determining the schemes of locomotive circulation with regard to the technological peculiarities of railcar traffic

TL;DR: In this article, the authors proposed a new analytical solution in the area of building locomotives' circulation plans to handle individual applications for route transportation of freight in the railway network of Ukraine.
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Devising an Automated Technology to Organize the Railroad Transportation of Containers for Intermodal Deliveries Based on the Theory of Point Processes

TL;DR: It has been proven that the key to the solution to the problem of synchronization of the processes is the formation of automated technology for the organization of the transportation of containers by railroad in the form of a model of stochastic optimization using a mathematical apparatus from the theory of point processes.
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Devising a method for the automated calculation of train formation plan by employing genetic algorithms

TL;DR: A method for calculating the plan of formation of single-group freight trains, which is based on the use of genetic algorithms as the optimization method, is devised, which demonstrated improved accuracy of about 3 per cent relative to the classical analytical methods.
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Organization of railway freight short-haul transportation on the basis of logistic approaches

TL;DR: The original method of model optimization based on the use of the mathematical apparatus of genetic algorithms is proposed, which allows to obtain a solution in the form of an operational plan, which provides synchronization of the process of transportation for the railway network subsystem, which has a complex topology.
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Determining the Rational Motion Intensity of Train Traffic Flows on the Railway Corridors with Account for Balance of Expenses on Traction Resources and Cargo Owners

TL;DR: A mathematical model based on stochastic optimization allows to find a balance between the expenses for movement of train traffic flows from different railway lines to their terminal reference station and the expenses of a consignee, subject to the limitations of the technological logistics chain in cargo transportation.