Saudi Journal of Engineering and Technology (SJEAT)
Volume-2 | Issue-01 | 57-64
Research Article
Application of Forecasting Techniques in Nissan Urvan Income Generation of Anambra State Transport Sector
Godwin Harold C, Umeozokwere, Anthony O, Ezemuo Daniel T
Published : Jan. 31, 2017
Abstract
This research work studies several forecasting techniques to predict future income generation and its
implications on the Nissan Urvan income generation in Anambra State Transport sector .This paper presents three
forecasting models (time series decomposition method, winter’s method and Arima method) to analyze data income
generation of Anambra State Transport Sector over the period of 2005-2019, it is important to know the trend in
Anambra Transport Sector to elicit patterns of incomes generated. However, the models used were based on applicable
methodology to facilitate accurate and faster analysis of data. The results reveal that the future income generated for the
products will continuously decrease with time. Having observed the values obtained from the models used, it is
recommended that the company should employ time series decomposition forecasting model because it gives more
accurate result with less error.