Sales forecasting system for newspaper distribution companies in Turkey
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Date
2012
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
University of the Punjab
Abstract
Newspapers are like goods with a shelf life of one day and they have to be distributed daily basis to the sales points. A problem that most newspaper companies encounter daily is how to predict the right number of newspapers to print and distribute among distinct sales points. The aim is to predict newspaper demand as accurately as possible to meet customer need with minimum number of returns, missed sales and oversupply. This makes it necessary to develop a short-term forecasting system. The data taken from one of the largest distribution companies in Turkey is time dependent. Therefore, time series analysis is used to forecast newspaper circulation. In this paper, the newspaper sales system is examined for Turkey. Various types of forecasting techniques which are applicable to newspaper circulation planning are compared and a nonlinear approach for returns is applied.
Description
Keywords
ARIMA, Exponential smoothing, Newspaper circulation, Nonlinear approach, Time series forecasting
Turkish CoHE Thesis Center URL
Citation
4
WoS Q
Scopus Q
Q2
Source
Pakistan Journal of Statistics and Operation Research
Volume
8
Issue
3
Start Page
685
End Page
699