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Regression Model In Road Transport Services

Author

Listed:
  • Szymon Mitkow

    (Military University of Technology, Poland)

  • Andrzej Świderski

    (Motor Transport Institute, Poland)

Abstract

The success of a company depends on a number of factors. One of them is the ability to meet customer expectations and match the market needs. Mathematical methods and tools are helpful in assessing demand. The forecasts made should take into account all the factors shaping the demand for goods and services, however, they are often difficult to define, not only because of their large number, but also because of the impact of individual variables which is difficult to determine. In many cases, the number of orders placed is strongly dependent on the time at which they are placed. Needs may vary depending on the time of day, week or year. Then we are dealing with the so-called seasonality, which is a very important matter that needs be taken into account in a company which allows to better adapt the company’s activities to customer requirements. This article describes the seasonality of demand in a company providing domestic road transport services using heavy-duty vehicles. The legitimacy of conducting such analyses and potential benefits were indicated.

Suggested Citation

  • Szymon Mitkow & Andrzej Świderski, 2019. "Regression Model In Road Transport Services," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 19, pages 263-275.
    • Handle: RePEc:osi:bulimm:v:19:y:2019:p:263-275
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