Standard
The Theta model: an essential forecasting tool for supply chain planning. /
Nikolopoulos, Konstantinos; Assimakopoulos, Vassilios; Bougioukos, Nikos et al.
Advances in automation and robotics, Vol. 2: Selected Papers from the 2011 International Conference on Automation and Robotics (ICAR 2011), Dubai, December 1–2, 2011. ed. / Gary Lee. Vol. 2 Berlin: Springer Verlag, 2012. p. 431-437 (Lecture Notes in Electrical Engineering; Vol. 123).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed)
Harvard
Nikolopoulos, K, Assimakopoulos, V, Bougioukos, N, Litsa, A
& Petropoulos, F 2012,
The Theta model: an essential forecasting tool for supply chain planning. in G Lee (ed.),
Advances in automation and robotics, Vol. 2: Selected Papers from the 2011 International Conference on Automation and Robotics (ICAR 2011), Dubai, December 1–2, 2011. vol. 2, Lecture Notes in Electrical Engineering, vol. 123, Springer Verlag, Berlin, pp. 431-437.
https://doi.org/10.1007/978-3-642-25646-2_56
APA
Nikolopoulos, K., Assimakopoulos, V., Bougioukos, N., Litsa, A.
, & Petropoulos, F. (2012).
The Theta model: an essential forecasting tool for supply chain planning. In G. Lee (Ed.),
Advances in automation and robotics, Vol. 2: Selected Papers from the 2011 International Conference on Automation and Robotics (ICAR 2011), Dubai, December 1–2, 2011 (Vol. 2, pp. 431-437). (Lecture Notes in Electrical Engineering; Vol. 123). Springer Verlag.
https://doi.org/10.1007/978-3-642-25646-2_56
Vancouver
Nikolopoulos K, Assimakopoulos V, Bougioukos N, Litsa A
, Petropoulos F.
The Theta model: an essential forecasting tool for supply chain planning. In Lee G, editor, Advances in automation and robotics, Vol. 2: Selected Papers from the 2011 International Conference on Automation and Robotics (ICAR 2011), Dubai, December 1–2, 2011. Vol. 2. Berlin: Springer Verlag. 2012. p. 431-437. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-3-642-25646-2_56
Author
Bibtex
@inbook{f442aa5c7df04b1f9c4922c250f1a1c9,
title = "The Theta model: an essential forecasting tool for supply chain planning",
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%.",
keywords = "Theta model, Exponential Smoothing, M3-Competition, Supply Chain forecasting",
author = "Konstantinos Nikolopoulos and Vassilios Assimakopoulos and Nikos Bougioukos and Akrivi Litsa and Fotios Petropoulos",
year = "2012",
doi = "10.1007/978-3-642-25646-2_56",
language = "English",
isbn = "9783642256455",
volume = "2",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "431--437",
editor = "Gary Lee",
booktitle = "Advances in automation and robotics, Vol. 2",
}
RIS
TY - CHAP
T1 - The Theta model
T2 - an essential forecasting tool for supply chain planning
AU - Nikolopoulos, Konstantinos
AU - Assimakopoulos, Vassilios
AU - Bougioukos, Nikos
AU - Litsa, Akrivi
AU - Petropoulos, Fotios
PY - 2012
Y1 - 2012
N2 - 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%.
AB - 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%.
KW - Theta model
KW - Exponential Smoothing
KW - M3-Competition
KW - Supply Chain forecasting
U2 - 10.1007/978-3-642-25646-2_56
DO - 10.1007/978-3-642-25646-2_56
M3 - Chapter (peer-reviewed)
SN - 9783642256455
VL - 2
T3 - Lecture Notes in Electrical Engineering
SP - 431
EP - 437
BT - Advances in automation and robotics, Vol. 2
A2 - Lee, Gary
PB - Springer Verlag
CY - Berlin
ER -