Forecasting of Sporadic Demand Patterns with Seasonality and Trend Components: An Empirical Comparison between Holt-Winters and (S)ARIMA Methods
暂无分享,去创建一个
Rita Gamberini | Bianca Rimini | Fabio Sgarbossa | Francesco Lolli | F. Sgarbossa | B. Rimini | R. Gamberini | F. Lolli
[1] Aris A. Syntetos,et al. Reply to Kostenko and Hyndman , 2006, J. Oper. Res. Soc..
[2] Robert Pavur,et al. A comparison of the accuracy of the Box-Jenkins method with that of automated forecasting methods , 1987 .
[3] A. Zhigljavsky,et al. Forecasting European industrial production with singular spectrum analysis , 2009 .
[4] Mauro Gamberi,et al. Managing Lumpy Demand for Aircraft Spare Parts , 2005 .
[5] J. Boylan,et al. The accuracy of intermittent demand estimates , 2005 .
[6] A. Vijaya Rao,et al. A Comment on: Forecasting and Stock Control for Intermittent Demands , 1973 .
[7] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1971 .
[8] Peter R. Winters,et al. Forecasting Sales by Exponentially Weighted Moving Averages , 1960 .
[9] J. D. Croston. Forecasting and Stock Control for Intermittent Demands , 1972 .
[10] E. Ziegel. Forecasting and Time Series: An Applied Approach , 2000 .
[11] T. Willemain,et al. Forecasting intermittent demand in manufacturing: a comparative evaluation of Croston's method , 1994 .
[12] Jeffrey Jarrett. Business Forecasting Methods , 1987 .
[13] T. Willemain,et al. A new approach to forecasting intermittent demand for service parts inventories , 2004 .
[14] Spyros Makridakis,et al. Accuracy measures: theoretical and practical concerns☆ , 1993 .
[15] H. Akaike. A new look at the statistical model identification , 1974 .
[16] Aris A. Syntetos,et al. On the categorization of demand patterns , 2005, J. Oper. Res. Soc..
[17] J. E. Boylan,et al. Forecasting intermittent demand: A comparative evaluation of croston's method. Comment , 1996 .
[18] Rob J. Hyndman,et al. A note on the categorization of demand patterns , 2006, J. Oper. Res. Soc..
[19] J. Boylan,et al. Forecasting for Items with Intermittent Demand , 1996 .
[20] J. Boylan,et al. On the bias of intermittent demand estimates , 2001 .
[21] Anders Segerstedt,et al. Inventory control with a modified Croston procedure and Erlang distribution , 2004 .
[22] Anders Segerstedt. Forecasting slow-moving items and ordinary items : a modification of Croston’s idea , 2003 .
[23] Aris A. Syntetos. A Note on Managing Lumpy Demand for Aircraft Spare Parts , 2007 .
[24] Leo W. G. Strijbosch,et al. A combined forecast—inventory control procedure for spare parts , 2000, J. Oper. Res. Soc..
[25] Rob J Hyndman,et al. Stochastic models underlying Croston's method for intermittent demand forecasting , 2005 .
[26] Chunhang Chen,et al. Robustness properties of some forecasting methods for seasonal time series: A Monte Carlo study☆ , 1997 .
[27] Jeffrey E. Jarrett,et al. Improving forecasting for telemarketing centers by ARIMA modeling with intervention , 1998 .
[28] George E. P. Box,et al. Time Series Analysis: Forecasting and Control , 1977 .
[29] A. Solis,et al. Lumpy demand forecasting using neural networks , 2001, PICMET '01. Portland International Conference on Management of Engineering and Technology. Proceedings Vol.1: Book of Summaries (IEEE Cat. No.01CH37199).
[30] C. Granger,et al. Experience with Forecasting Univariate Time Series and the Combination of Forecasts , 1974 .
[31] C. Holt. Author's retrospective on ‘Forecasting seasonals and trends by exponentially weighted moving averages’ , 2004 .
[32] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[33] Brian G. Kingsman,et al. Selecting the best periodic inventory control and demand forecasting methods for low demand items , 1997 .