Influence of the Dista nce of Transportation of Goods on Operating Costs of a Motor Transport Enterprise

The object of research is the transportation process. The subject of research is dependence of influence of the distance of transportation of goods on the cost of transportation of goods. Since no studied literary sources have revealed reliable dependences of influence of the distance of transportation on the cost of transportation of goods in specific conditions for a single enterprise, the research task considered in the article seems to be relevant.

The objective of this article is so to study the impact of distance of transportation of construction goods by dump trucks of Volgograd motor transport enterprise on operating costs. The solution to the problem is considered at the example of transportation of bulk cargo by MAN and Mercedes-Benz dump trucks with equal mileage. Several empirical research methods were used: observation (by means of purposeful perception of an object determined by the task of activity), comparison (by establishing similarity and difference between objects and phenomena of reality), measurement (by means of actions performed using measuring instruments to find the numerical value of the measured quantity in the adopted measurement units). To calculate the cost of transportation, the methodology for determining costs for transporting goods by road transport is used. To obtain experimental data, an analysis of the work of fleet of a motor transport enterprise is carried out using waybills with confirmed data. The process of obtaining actual data is carried out by means of calculations according to the given formulas. The research tool is calculation of the cost of transportation of goods according to the data obtained as a result of activities of the enterprise.

Regression dependences of influence of the distance of transportation of goods on the cost of operation of dump trucks with different carrying capacity were obtained to determine the type of the regression equation, construct estimates of unknown parameters included in the regression equation, and test statistical hypotheses about regression. The verification of the adequacy of obtained models was performed by calculating the correlation coefficient to establish the presence of a connection between random variables.

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