Graphical and analytical model of transport process in agriculture

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Transport in agricultural production plays an important role, being a link in the technological chain of agricultural production. In the structure of the agro-industrial complex of Russia, agriculture is the main link, where more than half of the total output of the entire agro-industrial complex is produced. The aim of the work is to develop a system of indicators and their graphical visualization, which makes it possible to more accurately calculate the output data of the operation of vehicles in agriculture. The paper presents a system of parameters for evaluating the effectiveness of cargo transportation technologies in the context of agricultural production. The developed system is based on the indicators of cargo and transport capacity. Theoretical expressions for determining these parameters are given. The technology of the transportation process is shown graphically in the form of parallelepipeds. Expressions are given for calculating the indicators of this technology: nominal and actual cargo and transport work; shift nominal and actual cargo and transport work; daily nominal and actual cargo and transport work. Graphical reflection of the technology of the transportation process allows to identify all its possible losses visually. Expressions have been developed for calculating the daily cargo and transport work of one car, the daily cargo and transport work of a car park, and the daily cargo and transport work of a car park for an annual period. Graphical representation of the technological process of transportation of goods allows to avoid inaccuracies in the calculations of the performance of vehicles, caused by the fact that this process itself is discrete. In addition, such an interpretation of the technological process of transportation makes it possible to determine all possible losses of any transport technology.

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Cargo capacity, transport capacity, cargo work, transport work, transport cycle, parallelepiped, operation, stage, system of indicators

Короткий адрес: https://sciup.org/142235120

IDR: 142235120   |   DOI: 10.53980/24131997_2022_2_49

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