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The theta model: An essential forecasting tool for supply chain planning

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dc.contributor.author Nikolopoulos, K en
dc.contributor.author Assimakopoulos, V en
dc.contributor.author Bougioukos, N en
dc.contributor.author Litsa, A en
dc.contributor.author Petropoulos, F en
dc.date.accessioned 2014-03-01T02:53:30Z
dc.date.available 2014-03-01T02:53:30Z
dc.date.issued 2011 en
dc.identifier.issn 18761100 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/36366
dc.subject Exponential Smoothing en
dc.subject M3-Competition en
dc.subject Supply Chain forecasting en
dc.subject Theta model en
dc.subject.other Exponential smoothing en
dc.subject.other Forecasting tools en
dc.subject.other Simple exponential smoothing en
dc.subject.other Supply chain planning en
dc.subject.other Time series forecasting en
dc.subject.other Automation en
dc.subject.other Forecasting en
dc.subject.other Robot programming en
dc.subject.other Robots en
dc.subject.other Supply chain management en
dc.subject.other Time series en
dc.subject.other Robotics en
dc.title The theta model: An essential forecasting tool for supply chain planning en
heal.type conferenceItem en
heal.identifier.primary 10.1007/978-3-642-25646-2_56 en
heal.identifier.secondary http://dx.doi.org/10.1007/978-3-642-25646-2_56 en
heal.publicationDate 2011 en
heal.abstract The Theta model created a lot of interest in academic circles due to its surprising performance in the M3-competition, the biggest ever time series forecasting competition. As a result in the subsequent years it became a benchmark in any empirical forecasting exercise and an essential tool for efficient Supply Chain Management ad planning as it provides very accurate point forecasts. The present study focuses on if the Theta model is a special case of Simple Exponential Smoothing with drift (SES-d). The Theta model outperforms SES-d in the Quarterly-M3 and Other-M3 subsets by 0.30% and 0.36%. © 2011 Springer-Verlag. en
heal.journalName Lecture Notes in Electrical Engineering en
dc.identifier.doi 10.1007/978-3-642-25646-2_56 en
dc.identifier.volume 123 LNEE en
dc.identifier.spage 431 en
dc.identifier.epage 437 en


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