REGRESSION MODEL IN ROAD TRANSPORT SERVICES

Szymon Mitkow () and Andrzej Świderski ()
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Szymon Mitkow: Military University of Technology, Poland
Andrzej Świderski: Motor Transport Institute, Poland

Business Logistics in Modern Management, 2019, vol. 19, 263-275

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.

Keywords: demand forecasting; seasonality; road transport; multiple regression (search for similar items in EconPapers)
Date: 2019
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