Record Details

Sales Forecasting System for Newspaper Distribution Companies in Turkey

Pakistan Journal of Statistics and Operation Research

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Title Sales Forecasting System for Newspaper Distribution Companies in Turkey
Creator İncesu, Gencay; Institute of Social Sciences
Okan University
Istanbul, Turkey
Aşıkgil, Barış; Department of Statistics
Mimar Sinan Fine Arts University
Istanbul, Turkey
Tez, Müjgan; Department of Statistics
Marmara University
Istanbul, Turkey
Subject Statistics
Newspaper Circulation, Exponential Smoothing, ARIMA, Nonlinear Approach, Time Series Forecasting
62P99, 91B84
Description 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.
Publisher College of Statistical and Actuarial Sciences
Date 2012-07-01
Type info:eu-repo/semantics/article
Peer-reviewed Article
Format application/pdf
Source Pakistan Journal of Statistics and Operation Research; Vol 8. No. 3, 2012; 685-699
Language eng