References

• 1960Forecasting Sales by Exponentially Weighted Moving Averages2,117 cited
• 2010A novel hybridization of artificial neural networks and ARIMA models for time series forecasting825 cited
• 1972Forecasting and Stock Control for Intermittent Demands761 cited
• 2014A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data505 cited
• 2006Winning in the aftermarket462 cited
• 2004On the categorization of demand patterns432 cited
• 2001On the bias of intermittent demand estimates363 cited
• 2010Handbook on Decision Making262 cited
• 2011Spare parts classification and demand forecasting for stock control: Investigating the gap between research and practice249 cited
• 2003Evaluation of forecasting methods for intermittent parts demand in the field of aviation: a predictive model235 cited
• 2013Intermittent demand forecasts with neural networks231 cited
• 2007Lumpy demand forecasting using neural networks220 cited
• 2004Forecasting for the ordering and stock-holding of spare parts214 cited
• 2015Demand forecasting with high dimensional data: The case of SKU retail sales forecasting with intra- and inter-category promotional information174 cited
• 1994Criticality analysis of spare parts using the analytic hierarchy process