SZodixStudyAcademic Library
DashboardShelvesOpen accessMy libraryInboxNotesWriteLearnAlerts
More
Ask your libraryNotificationsQuick citeReview
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Intermittent demand forecasting: An empirical study on accuracy and the risk of obsolescence
16 references·9 citing·31 second hop
Intermittent demand forecasting: An empirical study on accuracy and the risk of obsolescence (2014)Intermittent demand forecasting: An empir…Intermittent demand: Linking forecasting to inventory obsolescence (2011)Intermittent demand: Linking …Spare parts management: a review of forecasting research and extensions (2009)Spare parts management: a rev…On the bias of Croston’s forecasting method (2008)On the bias of Croston’s fore…Forecasting intermittent demand: a comparative study (2008)Forecasting intermittent dema…Forecasting and operational research: a review (2008)Forecasting and operational r…Lumpy demand forecasting using neural networks (2007)Lumpy demand forecasting usin…Another look at measures of forecast accuracy (2006)Another look at measures of f…Stochastic models underlying Croston's method for intermittent demand forecasting (2005)Stochastic models underlying …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 …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…Forecasting for Items with Intermittent Demand (1996)Forecasting for Items with In…Forecasting intermittent demand in manufacturing: a comparative evaluation of Croston's method (1994)Forecasting intermittent dema…Forecasting and Inventory Control for Sporadic Demand Under Periodic Review (1987)Forecasting and Inventory Con…Forecasting and Stock Control for Intermittent Demands (1972)Forecasting and Stock Control…Robust decisions for regulated sustainable manufacturing with partial demand information: Mandatory emission capacity versus emission tax (2021)Robust decisions for regulate…Intermittent demand forecasting for spare parts: A Critical review (2021)Intermittent demand forecasti…Forecasting intermittent demand for inventory management by retailers: A new approach (2021)Forecasting intermittent dema…On the empirical performance of some new neural network methods for forecasting intermittent demand (2020)On the empirical performance …Cross-docking or traditional warehousing: what is the right distribution strategy for your product? (2020)Cross-docking or traditional …A periodic inventory system of intermittent demand items with fixed lifetimes (2019)A periodic inventory system o…A new method to forecast intermittent demand in the presence of inventory obsolescence (2018)A new method to forecast inte…Exploiting elapsed time for managing intermittent demand for spare parts (2016)Exploiting elapsed time for m…Reduction of the value of information sharing as demand becomes strongly auto-correlated (2015)Reduction of the value of inf…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)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Error measures for generalizing about forecasting methods: Empirical comparisons (1992)Single-hidden layer neural networks for forecasting intermittent demand (2016)UNISON data-driven intermittent demand forecast framework to empower supply chain resilience and an empirical study in electronics distribution (2019)The Pattern of Consumer Purchases (1959)Forecasting sales of slow and fast moving inventories (2002)Forecasting the intermittent demand for slow-moving inventories: A modelling approach (2011)Decision Systems for Inventory Management and Production Planning (1979)Production and inventory management (1983)Evaluation of forecasting methods for intermittent parts demand in the field of aviation: a predictive model (2003)Intermittent demand forecasts with neural networks (2013)An overview of recent literature on spare parts inventories (2002)‘Horses for Courses’ in demand forecasting (2014)An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain (2019)The M3-Competition: results, conclusions and implications (2000)A Survey of Forecast Error Measures (2013)Supply chain forecasting: Theory, practice, their gap and the future (2015)Retail forecasting: Research and practice (2019)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction (2011)Variable Selection in Time Series Forecasting Using Random Forests (2017)On the stock control performance of intermittent demand estimators (2005)Forecasting for inventory planning: a 50-year review (2009)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)
this work references cited by second hop

References

  • 2006Another look at measures of forecast accuracy5,736 cited
  • 1972Forecasting and Stock Control for Intermittent Demands761 cited
  • 2004The accuracy of intermittent demand estimates498 cited
  • 2001On the bias of intermittent demand estimates363 cited
  • 2008Forecasting and operational research: a review287 cited
  • 2011Intermittent demand: Linking forecasting to inventory obsolescence255 cited
  • 1994Forecasting intermittent demand in manufacturing: a comparative evaluation of Croston's method236 cited
  • 2007Lumpy demand forecasting using neural networks220 cited
  • 2004Forecasting for the ordering and stock-holding of spare parts214 cited
  • 1996Forecasting for Items with Intermittent Demand199 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
  • 2005Stochastic models underlying Croston's method for intermittent demand forecasting111 cited
  • 1987Forecasting and Inventory Control for Sporadic Demand Under Periodic Review95 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2008On the bias of Croston’s forecasting method93 cited
  • Cited by

    • 2021Intermittent demand forecasting for spare parts: A Critical review89 cited
    • 2018A new method to forecast intermittent demand in the presence of inventory obsolescence72 cited
    • 2021Forecasting intermittent demand for inventory management by retailers: A new approach58 cited
    • 2021Robust decisions for regulated sustainable manufacturing with partial demand information: Mandatory emission capacity versus emission tax51 cited
    • 2020On the empirical performance of some new neural network methods for forecasting intermittent demand41 cited
    • 2015Reduction of the value of information sharing as demand becomes strongly auto-correlated37 cited
    • 2019A periodic inventory system of intermittent demand items with fixed lifetimes34 cited
    • 2016Exploiting elapsed time for managing intermittent demand for spare parts32 cited
    • 2020Cross-docking or traditional warehousing: what is the right distribution strategy for your product?18 cited