Časopisi po područjima
Politike i razmjena
Demand forecasting: a comparison between the Holt-Winters, trend analysis and decomposition models
; Atılım University, Faculty of Engineering, Dept. of Computer Engineering, Kızılcaşar Mahallesi, 06830 Gölbaşı/Ankara, Turkey
; Yıldırım Beyazıt University, Güvenevler Mahallesi, Cinnah Cd. No. 16, 06690 Çankaya/Ankara, Turkey
; Atılım University, Faculty of Engineering, Dept. of Industrial Engineering, 06836 İncek/Ankara, Turkey
Puni tekst: engleski, pdf (521 KB)
Tirkeş, G., Güray, C., Çelebi, N. (2017). Demand forecasting: a comparison between the Holt-Winters, trend analysis and decomposition models. Tehnički vjesnik, 24(Supplement 2). doi:10.17559/TV-20160615204011
Puni tekst: hrvatski, pdf (521 KB)
Tirkeş, G., Güray, C., Çelebi, N. (2017). Predviđanje potražnje: usporedba između Holt-Winters modela, analize trenda i modela dekompozicije. Tehnički vjesnik, 24(Supplement 2). doi:10.17559/TV-20160615204011
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.
decomposition; demand forecasting; food industry; Holt-Winters; time series
Hrčak ID: 186094
Registracija novih korisnika
Zaboravili ste lozinku?