Application of Forecasting Techniques in Nissan Urvan Income Generation of Anambra State Transport Sector
Journal Title: Saudi Journal of Engineering and Technology - Year 2017, Vol 2, Issue 1
Abstract
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. Keywords: Trend, Vehicle, Maintenance, Replacement, Income, Forecasting.
Authors and Affiliations
Godwin Harold, Umeozokwere, Anthony O
Keywords
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