Evaluation of light commercial vehicles operation process
in a transport company using the regression modelling method
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Online publication date: 2022-06-23
Publication date: 2022-06-23
Eksploatacja i Niezawodność – Maintenance and Reliability 2022;24(3):522-531
HIGHLIGHTS
- A research method aimed at evaluating light commercial vehicles (LCV) operation process was proposed.
- Statistical analysis and operational indicators were used to evaluate vehicle operation.
- The economic efficiency of three types of LCV was evaluated.
- A mathematical model was developed based on variables not previously considered in the research.
- The developed mathematical model provides a tool for forecasting the effects of vehicles operation.
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ABSTRACT
This paper presents an analysis of the results of daily observations from the execution of
transport orders by three types of vehicles over a period of 2 years. The purpose of the
research was to evaluate the operation process and determine the influence of important
technical and operational variables on the economic efficiency of the operation process. A
set of 7 quantitative variables, previously not considered in the evaluation of the commercial
vehicle operation process, was subjected to statistical data analysis. An indicator analysis
and evaluation of the intensity of use of the following types of vehicles was conducted:
Renault Master, Fiat Ducato and Citroen Jumper. Based on the results of the research, the
vehicle with the highest efficiency was determined and possible assumptions of the strategy
applied in the company were indicated. The analysis and evaluation of vehicle efficiency
gave rise to the identification of independent variables determining the company's income.
Using the indicator method and the multivariate regression model, transport companies can
evaluate the efficiency of transport tasks undertaken.
CITATIONS (1):
1.
Modeling Vehicle Fuel Consumption Using a Low-Cost OBD-II Interface
Magdalena Rykała, Małgorzata Grzelak, Łukasz Rykała, Daniela Voicu, Ramona-Monica Stoica
Energies