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Method and Results of the Most Efficient Means of Transport Selection for Executing Orders of the Grain Crops Delivery

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TRANSBALTICA XIII: Transportation Science and Technology (TRANSBALTICA 2022)

Abstract

The analysis of the state of development and use of intelligent decision-making support systems in road transport logistics systems has been carried out. The expediency of selecting the most efficient means of transport for executing orders of the grain crops delivery from agricultural enterprises to the grain elevator on the basis of technologies of computational intelligence has been substantiated. A method for selecting the most efficient means of transport executing orders of the grain crops delivery from agricultural enterprises to the grain elevator is proposed. It involves three stages with the use of machine-learning, in particular the grounded RF random forest model for predicting the specific fuel consumption by vehicles. The proposed method ensures that many factors of the production conditions are taken into account, allowing accurate results in the selection of efficient vehicles. On the basis of the developed method and computer model, the selection of the most efficient means of transport for executing orders of the grain crops delivery from agricultural enterprises to the elevator by the criterion of the minimum prime costs of executing the orders under given production conditions was elaborated. It has been determined that the prime costs of the execution of orders of the grain crops delivery from agricultural enterprises to the grain elevator varies in the range from 16.5 to 33.3 UAH/km. The obtained results of the researches are designed to be used by the managers of transport enterprises that organize the grain crops delivery from agricultural enterprises to the grain elevator.

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Correspondence to Viktoriia Kotenko .

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Kotenko, V. (2023). Method and Results of the Most Efficient Means of Transport Selection for Executing Orders of the Grain Crops Delivery. In: Prentkovskis, O., Yatskiv (Jackiva), I., Skačkauskas, P., Maruschak, P., Karpenko, M. (eds) TRANSBALTICA XIII: Transportation Science and Technology. TRANSBALTICA 2022. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-031-25863-3_58

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  • DOI: https://doi.org/10.1007/978-3-031-25863-3_58

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-25862-6

  • Online ISBN: 978-3-031-25863-3

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