On intermittent demand model optimisation and selection
暂无分享,去创建一个
[1] John E. Boylan,et al. An examination of the size of orders from customers, their characterisation and the implications for inventory control of slow moving items , 2003, J. Oper. Res. Soc..
[2] R. Quintana,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).
[3] Brian G. Kingsman,et al. Selecting the best periodic inventory control and demand forecasting methods for low demand items , 1997 .
[4] Rob J Hyndman,et al. Stochastic models underlying Croston's method for intermittent demand forecasting , 2005 .
[5] Ralph Snyder,et al. Forecasting sales of slow and fast moving inventories , 2002, Eur. J. Oper. Res..
[6] Fotios Petropoulos,et al. Empirical heuristics for improving intermittent demand forecasting , 2013, Ind. Manag. Data Syst..
[7] Aris A. Syntetos,et al. Spare parts management : a review of forecasting research and extensions , 2010 .
[8] J. D. Croston. Forecasting and Stock Control for Intermittent Demands , 1972 .
[9] T. Willemain,et al. Forecasting intermittent demand in manufacturing: a comparative evaluation of Croston's method , 1994 .
[10] Fotios Petropoulos,et al. A systemic view of the ADIDA framework , 2014 .
[11] Robert Fildes,et al. Generalising about univariate forecasting methods: Further empirical evidence , 1998 .
[12] John E. Boylan,et al. The accuracy of a Modified Croston procedure , 2007 .
[13] Nikolaos Kourentzes,et al. Intermittent demand forecasts with neural networks , 2013 .
[14] J. Boylan,et al. On the stock control performance of intermittent demand estimators , 2006 .
[15] Jr. Everette S. Gardner,et al. Evaluating forecast performance in an inventory control system , 1990 .
[16] Douglas A. Wolfe,et al. Nonparametric Statistical Methods , 1973 .
[17] Brian G. Kingsman,et al. Forecasting for the ordering and stock-holding of spare parts , 2004, J. Oper. Res. Soc..
[18] Aris A. Syntetos,et al. On the categorization of demand patterns , 2005, J. Oper. Res. Soc..
[19] J. Ord,et al. Forecasting the intermittent demand for slow-moving inventories: A modelling approach , 2012 .
[20] R. Fildes,et al. The effects of integrating management judgement into intermittent demand forecasts , 2009 .
[21] J. Boylan,et al. The accuracy of intermittent demand estimates , 2005 .
[22] Anthony Kelly. Spare parts management , 2006 .
[23] Carl R. Schultz. Forecasting and Inventory Control for Sporadic Demand Under Periodic Review , 1987 .
[24] T. Willemain,et al. A new approach to forecasting intermittent demand for service parts inventories , 2004 .
[25] Leonard J. Tashman,et al. The use of protocols to select exponential smoothing procedures: A reconsideration of forecasting competitions , 1996 .
[26] Rob J Hyndman,et al. Another look at measures of forecast accuracy , 2006 .
[27] J. Boylan,et al. On the bias of intermittent demand estimates , 2001 .
[28] Robert Fildes,et al. Principles of Business Forecasting , 2012 .
[29] J. Boylan,et al. Forecasting for Items with Intermittent Demand , 1996 .
[30] A. Bacchetti,et al. Spare parts classification and demand forecasting for stock control: Investigating the gap between research and practice , 2012 .
[31] Rob J. Hyndman,et al. A note on the categorization of demand patterns , 2006, J. Oper. Res. Soc..
[32] John E. Boylan,et al. Forecasting for intermittent demand: the estimation of an unbiased average , 2006, J. Oper. Res. Soc..
[33] Anders Segerstedt,et al. Evaluation of forecasting error measurements and techniques for intermittent demand , 2010 .
[34] Aris A. Syntetos,et al. Classification for forecasting and stock control: a case study , 2008, J. Oper. Res. Soc..
[35] Fotios Petropoulos,et al. An aggregate–disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis , 2011, J. Oper. Res. Soc..
[36] Rob J Hyndman,et al. A state space framework for automatic forecasting using exponential smoothing methods , 2002 .
[37] Wenbin Wang,et al. Forecasting-based SKU classification , 2013 .
[38] Ruud H. Teunter,et al. Intermittent demand: Linking forecasting to inventory obsolescence , 2011, Eur. J. Oper. Res..
[39] L. Duncan,et al. Forecasting intermittent demand: a comparative study , 2009, J. Oper. Res. Soc..
[40] Ruud H. Teunter,et al. On the bias of Croston's forecasting method , 2009 .
[41] John E. Boylan,et al. On the interaction between forecasting and stock control: The case of non-stationary demand , 2011 .
[42] Ruud H. Teunter,et al. Forecasting intermittent demand , 2006 .
[43] Adel A. Ghobbar,et al. Evaluation of forecasting methods for intermittent parts demand in the field of aviation: a predictive model , 2003, Comput. Oper. Res..
[44] M. Z. Babai,et al. Determining order-up-to levels under periodic review for compound binomial (intermittent) demand , 2010, Eur. J. Oper. Res..
[45] Spyros Makridakis,et al. The M3-Competition1 , 2000 .
[46] M. Z. Babai,et al. Impact of temporal aggregation on stock control performance of intermittent demand estimators: Empirical analysis , 2012 .
[47] Rob J Hyndman,et al. Forecasting with Exponential Smoothing: The State Space Approach , 2008 .
[48] Anders Segerstedt,et al. Inventory control with a modified Croston procedure and Erlang distribution , 2004 .
[49] A. Vijaya Rao,et al. A Comment on: Forecasting and Stock Control for Intermittent Demands , 1973 .
[50] Rommert Dekker,et al. An inventory control system for spare parts at a refinery: An empirical comparison of different re-order point methods , 2008, Eur. J. Oper. Res..
[51] John E. Boylan,et al. Judging the judges through accuracy-implication metrics: The case of inventory forecasting , 2010 .
[52] Philip Hans Franses,et al. The M3 competition: Statistical tests of the results , 2005 .
[53] Ruud H. Teunter,et al. Calculating order-up-to levels for products with intermittent demand , 2009 .
[54] Ruud H. Teunter,et al. A two-step method for forecasting spare parts demand using information on component repairs , 2012, Eur. J. Oper. Res..
[55] E. S. Gardner. EXPONENTIAL SMOOTHING: THE STATE OF THE ART, PART II , 2006 .