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 |