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An investigation on bootstrapping forecasting methods for intermittent demands
16 references·1 citing·28 second hopsampled
An investigation on bootstrapping forecasting methods for intermittent demands (2018)An investigation on bootstrapping forecas…Forecasting intermittent inventory demands: simple parametric methods vs. bootstrapping (2015)Forecasting intermittent inve…Forecasting the intermittent demand for slow-moving inventories: A modelling approach (2011)Forecasting the intermittent …Judging the judges through accuracy-implication metrics: The case of inventory forecasting (2009)Judging the judges through ac…Forecasting intermittent demand: a comparative study (2008)Forecasting intermittent dema…Lumpy demand forecasting using neural networks (2007)Lumpy demand forecasting usin…An inventory control system for spare parts at a refinery: An empirical comparison of different re-order point methods (2007)An inventory control system f…The accuracy of intermittent demand estimates (2004)The accuracy of intermittent …On the categorization of demand patterns (2004)On the categorization of dema…Forecasting for the ordering and stock-holding of spare parts (2004)Forecasting for the ordering …A new approach to forecasting intermittent demand for service parts inventories (2003)A new approach to forecasting…Forecasting sales of slow and fast moving inventories (2002)Forecasting sales of slow and…On the bias of intermittent demand estimates (2001)On the bias of intermittent d…FORECASTING OF INTERMITTENT DEMAND (2001)FORECASTING OF INTERMITTENT D…Evaluating Forecast Performance in an Inventory Control System (1990)Evaluating Forecast Performan…The Effects of Demand-Forecast Fluctuations on Customer Service and Inventory Cost When Demand is Lumpy (1987)The Effects of Demand-Forecas…Forecasting and Stock Control for Intermittent Demands (1972)Forecasting and Stock Control…On the order-up-to policy with intermittent integer demand and logically consistent forecasts (2023)On the order-up-to policy wit…Forecasting: Methods and Applications (1984)Forecasting methods and applications (1993)A new metric of absolute percentage error for intermittent demand forecasts (2016)Forecasting: theory and practice (2022)M5 accuracy competition: Results, findings, and conclusions (2022)Forecasting intermittent demand in manufacturing: a comparative evaluation of Croston's method (1994)Exponential smoothing: The state of the art—Part II (2006)N-BEATS: Neural basis expansion analysis for interpretable time series forecasting (2019)Forecasting Sales by Exponentially Weighted Moving Averages (1960)Smoothing, Forecasting and Prediction of Discrete Time Series. (1964)Book Review: Time Series Analysis: Forecasting and Control (1977)Principles of Forecasting (2001)Automatic Time Series Forecasting: The forecast Package for R (2008)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Inventory management and production planning and scheduling (1999)Supply Chain Management: Strategy, Planning and Operations (2000)Intermittent demand: Linking forecasting to inventory obsolescence (2011)Supply chain forecasting: Theory, practice, their gap and the future (2015)Production and inventory management (1983)25 years of time series forecasting (2006)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Error measures for generalizing about forecasting methods: Empirical comparisons (1992)Assessing the vulnerability of supply chains using graph theory (2009)The M3-Competition: results, conclusions and implications (2000)Another look at measures of forecast accuracy (2006)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Retail forecasting: Research and practice (2019)Forecasting for Items with Intermittent Demand (1996)
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References

  • 1972Forecasting and Stock Control for Intermittent Demands868 cited
  • 2004The accuracy of intermittent demand estimates516 cited
  • 2004On the categorization of demand patterns509 cited
  • 2003A new approach to forecasting intermittent demand for service parts inventories422 cited
  • 2001On the bias of intermittent demand estimates392 cited
  • 2007Lumpy demand forecasting using neural networks220 cited
  • 2004Forecasting for the ordering and stock-holding of spare parts214 cited
  • 2007An inventory control system for spare parts at a refinery: An empirical comparison of different re-order point methods188 cited
  • 2008Forecasting intermittent demand: a comparative study183 cited
  • 2011Forecasting the intermittent demand for slow-moving inventories: A modelling approach133 cited
  • 2002Forecasting sales of slow and fast moving inventories132 cited
  • 1990Evaluating Forecast Performance in an Inventory Control System127 cited
  • 2015Forecasting intermittent inventory demands: simple parametric methods vs. bootstrapping119 cited
  • 2009Judging the judges through accuracy-implication metrics: The case of inventory forecasting117 cited
  • 1987The Effects of Demand-Forecast Fluctuations on Customer Service and Inventory Cost When Demand is Lumpy

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70 cited
  • 2001FORECASTING OF INTERMITTENT DEMAND67 cited
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    • 2023On the order-up-to policy with intermittent integer demand and logically consistent forecasts9 cited