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Tehnički vjesnik, Vol. 24 No. Supplement 2, 2017.

Prethodno priopćenje
https://doi.org/10.17559/TV-20160615204011

Demand forecasting: a comparison between the Holt-Winters, trend analysis and decomposition models

Güzin Tirkeş   ORCID icon orcid.org/0000-0003-0884-4876 ; Atılım University, Faculty of Engineering, Dept. of Computer Engineering, Kızılcaşar Mahallesi, 06830 Gölbaşı/Ankara, Turkey
Cenk Güray ; Yıldırım Beyazıt University, Güvenevler Mahallesi, Cinnah Cd. No. 16, 06690 Çankaya/Ankara, Turkey
Neş’e Çelebi ; Atılım University, Faculty of Engineering, Dept. of Industrial Engineering, 06836 İncek/Ankara, Turkey

Puni tekst: engleski, pdf (521 KB) str. 503-509 preuzimanja: 229* citiraj
APA 6th Edition
Tirkeş, G., Güray, C. i Çelebi, N. (2017). Demand forecasting: a comparison between the Holt-Winters, trend analysis and decomposition models. Tehnički vjesnik, 24 (Supplement 2), 503-509. https://doi.org/10.17559/TV-20160615204011
MLA 8th Edition
Tirkeş, Güzin, et al. "Demand forecasting: a comparison between the Holt-Winters, trend analysis and decomposition models." Tehnički vjesnik, vol. 24, br. Supplement 2, 2017, str. 503-509. https://doi.org/10.17559/TV-20160615204011. Citirano 01.03.2021.
Chicago 17th Edition
Tirkeş, Güzin, Cenk Güray i Neş’e Çelebi. "Demand forecasting: a comparison between the Holt-Winters, trend analysis and decomposition models." Tehnički vjesnik 24, br. Supplement 2 (2017): 503-509. https://doi.org/10.17559/TV-20160615204011
Harvard
Tirkeş, G., Güray, C., i Çelebi, N. (2017). 'Demand forecasting: a comparison between the Holt-Winters, trend analysis and decomposition models', Tehnički vjesnik, 24(Supplement 2), str. 503-509. https://doi.org/10.17559/TV-20160615204011
Vancouver
Tirkeş G, Güray C, Çelebi N. Demand forecasting: a comparison between the Holt-Winters, trend analysis and decomposition models. Tehnički vjesnik [Internet]. 2017 [pristupljeno 01.03.2021.];24(Supplement 2):503-509. https://doi.org/10.17559/TV-20160615204011
IEEE
G. Tirkeş, C. Güray i N. Çelebi, "Demand forecasting: a comparison between the Holt-Winters, trend analysis and decomposition models", Tehnički vjesnik, vol.24, br. Supplement 2, str. 503-509, 2017. [Online]. https://doi.org/10.17559/TV-20160615204011
Puni tekst: hrvatski, pdf (521 KB) str. 503-509 preuzimanja: 9.448* citiraj
APA 6th Edition
Tirkeş, G., Güray, C. i Çelebi, N. (2017). Predviđanje potražnje: usporedba između Holt-Winters modela, analize trenda i modela dekompozicije. Tehnički vjesnik, 24 (Supplement 2), 503-509. https://doi.org/10.17559/TV-20160615204011
MLA 8th Edition
Tirkeş, Güzin, et al. "Predviđanje potražnje: usporedba između Holt-Winters modela, analize trenda i modela dekompozicije." Tehnički vjesnik, vol. 24, br. Supplement 2, 2017, str. 503-509. https://doi.org/10.17559/TV-20160615204011. Citirano 01.03.2021.
Chicago 17th Edition
Tirkeş, Güzin, Cenk Güray i Neş’e Çelebi. "Predviđanje potražnje: usporedba između Holt-Winters modela, analize trenda i modela dekompozicije." Tehnički vjesnik 24, br. Supplement 2 (2017): 503-509. https://doi.org/10.17559/TV-20160615204011
Harvard
Tirkeş, G., Güray, C., i Çelebi, N. (2017). 'Predviđanje potražnje: usporedba između Holt-Winters modela, analize trenda i modela dekompozicije', Tehnički vjesnik, 24(Supplement 2), str. 503-509. https://doi.org/10.17559/TV-20160615204011
Vancouver
Tirkeş G, Güray C, Çelebi N. Predviđanje potražnje: usporedba između Holt-Winters modela, analize trenda i modela dekompozicije. Tehnički vjesnik [Internet]. 2017 [pristupljeno 01.03.2021.];24(Supplement 2):503-509. https://doi.org/10.17559/TV-20160615204011
IEEE
G. Tirkeş, C. Güray i N. Çelebi, "Predviđanje potražnje: usporedba između Holt-Winters modela, analize trenda i modela dekompozicije", Tehnički vjesnik, vol.24, br. Supplement 2, str. 503-509, 2017. [Online]. https://doi.org/10.17559/TV-20160615204011

Sažetak
In food production industry, forecasting the timing of demands is crucial in planning production scheduling to satisfy customer needs on time. In the literature, several statistical models have been used in demand forecasting in Food and Beverage (F&B) industry and the choice of the most suitable forecasting model remains a central concern. In this context, this article aims to compare the performances between Trend Analysis, Decomposition and Holt-Winters (HW) models for the prediction of a time series formed by a group of jam and sherbet product demands. Data comprised the series of monthly sales from January 2013 to December 2014 obtained from a private company. As performance measures, metric analysis of the Mean Absolute Percentage Error (MAPE) is used. In this study, the HW and Decomposition models obtained better results regarding the performance metrics.

Ključne riječi
decomposition; demand forecasting; food industry; Holt-Winters; time series

Hrčak ID: 186094

URI
https://hrcak.srce.hr/186094

[hrvatski]

Posjeta: 10.128 *