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On the performance of adjusted bootstrapping methods for intermittent demand forecasting
16 references·2 citing·31 second hop
On the performance of adjusted bootstrapping methods for intermittent demand forecasting (2019)On the performance of adjusted bootstrapp…Single-hidden layer neural networks for forecasting intermittent demand (2016)Single-hidden layer neural ne…Intermittent demand forecasts with neural networks (2013)Intermittent demand forecasts…Spare parts management: a review of forecasting research and extensions (2009)Spare parts management: a rev…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…On the stock control performance of intermittent demand estimators (2005)On the stock control performa…The accuracy of intermittent demand estimates (2004)The accuracy of intermittent …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…Selecting the best periodic inventory control and demand forecasting methods for low demand items (1997)Selecting the best periodic i…Evaluating Forecast Performance in an Inventory Control System (1990)Evaluating Forecast Performan…Determining Safety Stock in the Presence of Stochastic Lead Time and Demand (1988)Determining Safety Stock in t…Forecasting and Stock Control for Intermittent Demands (1972)Forecasting and Stock Control…Combining probabilistic forecasts of intermittent demand (2024)Combining probabilistic forec…Basket data-driven approach for omnichannel demand forecasting (2022)Basket data-driven approach f…Forecasting: Methods and Applications (1984)Forecasting methods and applications (1993)Forecasting the intermittent demand for slow-moving inventories: A modelling approach (2011)Evaluating predictive count data distributions in retail sales forecasting (2016)Forecasting intermittent demand in manufacturing: a comparative evaluation of Croston's method (1994)Forecasting for inventory planning: a 50-year review (2009)Time Series Analysis: Forecasting and Control (1977)25 years of time series forecasting (2006)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)OR in spare parts management: A review (2017)Production and inventory management (1983)Forecasting and operational research: a review (2008)Retail forecasting: Research and practice (2019)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Error measures for generalizing about forecasting methods: Empirical comparisons (1992)UNISON data-driven intermittent demand forecast framework to empower supply chain resilience and an empirical study in electronics distribution (2019)Forecasting with artificial neural networks: (1998)Out-of-sample tests of forecasting accuracy: an analysis and review (2000)Another look at measures of forecast accuracy (2006)Forecast combinations for intermittent demand (2014)Analysis of Inventory Systems. (1964)A Guide to Simulation (1983)A three-level supply chain network design model with risk-pooling and lead times (2010)Diffusion of green products in industry 4.0: Reverse logistics issues during design of inventory and production planning system (2019)The M3-Competition: results, conclusions and implications (2000)A Survey of Forecast Error Measures (2013)
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References

  • 1972Forecasting and Stock Control for Intermittent Demands761 cited
  • 2004The accuracy of intermittent demand estimates498 cited
  • 2003A new approach to forecasting intermittent demand for service parts inventories395 cited
  • 2001On the bias of intermittent demand estimates363 cited
  • 2013Intermittent demand forecasts with neural networks231 cited
  • 2007Lumpy demand forecasting using neural networks220 cited
  • 1988Determining Safety Stock in the Presence of Stochastic Lead Time and Demand214 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
  • 2009Spare parts management: a review of forecasting research and extensions163 cited
  • 1997Selecting the best periodic inventory control and demand forecasting methods for low demand items153 cited
  • 2005On the stock control performance of intermittent demand estimators149 cited
  • 2016Single-hidden layer neural networks for forecasting intermittent demand140 cited
  • 2002Forecasting sales of slow and fast moving inventories

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132 cited
  • 1990Evaluating Forecast Performance in an Inventory Control System127 cited
  • Cited by

    • 2022Basket data-driven approach for omnichannel demand forecasting39 cited
    • 2024Combining probabilistic forecasts of intermittent demand38 cited