Sales forecasting system for newspaper distribution companies in Turkey

dc.authorscopusid 55376422700
dc.authorscopusid 35263867900
dc.authorscopusid 27968083600
dc.contributor.author Incesu,G.
dc.contributor.author Asikgil,B.
dc.contributor.author Tez,M.
dc.date.accessioned 2024-05-25T12:31:10Z
dc.date.available 2024-05-25T12:31:10Z
dc.date.issued 2012
dc.department Okan University en_US
dc.department-temp Incesu G., Institute of Social Sciences, Okan University, Istanbul, Turkey; Asikgil B., Department of Statistics, Mimar Sinan Fine Arts University, Istanbul, Turkey; Tez M., Department of Statistics, Marmara University, Istanbul, Turkey en_US
dc.description.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. en_US
dc.identifier.citationcount 4
dc.identifier.doi 10.18187/pjsor.v8i3.539
dc.identifier.endpage 699 en_US
dc.identifier.issn 1816-2711
dc.identifier.issue 3 en_US
dc.identifier.scopus 2-s2.0-84867049209
dc.identifier.scopusquality Q2
dc.identifier.startpage 685 en_US
dc.identifier.uri https://doi.org/10.18187/pjsor.v8i3.539
dc.identifier.uri https://hdl.handle.net/20.500.14517/2260
dc.identifier.volume 8 en_US
dc.language.iso en
dc.publisher University of the Punjab en_US
dc.relation.ispartof Pakistan Journal of Statistics and Operation Research en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 6
dc.subject ARIMA en_US
dc.subject Exponential smoothing en_US
dc.subject Newspaper circulation en_US
dc.subject Nonlinear approach en_US
dc.subject Time series forecasting en_US
dc.title Sales forecasting system for newspaper distribution companies in Turkey en_US
dc.type Article en_US

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