Abstract

The article deals with the problem of estimating the rational number and utilization rate of the vehicles' fleet. According to the analysis results of the state-of-the-art literature it has been revealed that the issue of substantiating the rational fleet size and the rate of its utilization were not fully solved. The purpose of the study was to increase the efficiency of servicing transportation orders by determining the required number of vehicles. The goal of the research was the influence of the transportation process parameters on the truck utilization rate. Originating from the probabilistic nature of the transportation process, it has been proposed to use the AnyLogic software product to develop a simulation model for vehicle orders' servicing. From the processing of the experimental results by the regression analysis methods, it has been found that the dependence of changes in the vehicle utilization rate is of a linear form.

Highlights

  • The main goal of majority of the transport companies is to provide quality services to customers with minimal costs

  • The Statgraphics Centurion 18 software to determine the coefficients of regression models when processing the results of experimental studies was used

  • From the analysis of the results presented, it can be found that at the availability of one vehicle there is an excess of the predetermined utilization rate for the most combinations of values of the input parameters

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Summary

Introduction

The main goal of majority of the transport companies is to provide quality services to customers with minimal costs. Important factors are the number of vehicles and their utilization rate in the freight orders’ service. This is because the insufficient vehicle fleet size leads to costs associated with the inability to satisfy the order. Large investments in the purchase, maintenance and operation of vehicles result in unreasonably high costs if the vehicle fleet utilization rate is insufficient when transporting the freight. The goal of the research was an analysis of the influence of the transportation process parameters on the truck utilization rate

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