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Economic Analysis of a Transport Company in the Aspect of Car Vehicle Operation

Author

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  • Magdalena Rykała

    (Faculty of Security, Logistics and Management, Military University of Technology, 00-908 Warsaw, Poland)

  • Łukasz Rykała

    (Faculty of Mechanical Engineering, Military University of Technology, 00-908 Warsaw, Poland)

Abstract

The article describes the issues of transport of bulk materials. The knowledge of this process has a key impact on the rational planning of transport tasks. It is necessary to have knowledge about the transport services market and the competition that exists in it. In order to achieve a competitive advantage on the market, enterprises should analyze data on the implementation of transport tasks on an ongoing basis. It is also important that the costs incurred from the conducted activity are minimized, while increasing the quality of services and taking into account the sustainable development of the enterprise. The study analyzes data from a few selected motor vehicles in the period of 3 years of operation, coming from an enterprise specializing in the transport of bulk materials. Moreover, a global sensitivity analysis was performed based on a neural model describing the impact of the analyzed factors on the company’s profit. The results show that the most important factors influencing the company’s profit are the fuel consumption of individual vehicles, the driver (driving style) and the month (average temperature, weather conditions).

Suggested Citation

  • Magdalena Rykała & Łukasz Rykała, 2021. "Economic Analysis of a Transport Company in the Aspect of Car Vehicle Operation," Sustainability, MDPI, vol. 13(1), pages 1-15, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:1:p:427-:d:474990
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    References listed on IDEAS

    as
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    2. Verhoef, Erik, 1994. "External effects and social costs of road transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 28(4), pages 273-287, July.
    3. Helton, J.C. & Johnson, J.D. & Sallaberry, C.J. & Storlie, C.B., 2006. "Survey of sampling-based methods for uncertainty and sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1175-1209.
    4. Zhang, Guoqiang & Eddy Patuwo, B. & Y. Hu, Michael, 1998. "Forecasting with artificial neural networks:: The state of the art," International Journal of Forecasting, Elsevier, vol. 14(1), pages 35-62, March.
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