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We need to talk about intermittent demand forecasting
16 references·6 citing·29 second hop
We need to talk about intermittent demand forecasting (2020)We need to talk about intermittent demand…The M4 Competition: Results, findings, conclusion and way forward (2018)The M4 Competition: Results, …Supply chain forecasting: Theory, practice, their gap and the future (2015)Supply chain forecasting: The…The Black Swan: The Impact of the Highly Improbable (2008)The Black Swan: The Impact of…Forecasting and operational research: a review (2008)Forecasting and operational r…The black swan: the impact of the highly improbable (2007)The black swan: the impact of…Competing on Analytics: The New Science of Winning (2007)Competing on Analytics: The N…Competing on analytics: the new science of winning (2007)Competing on analytics: the n…Another look at measures of forecast accuracy (2006)Another look at measures of f…On the categorization of demand patterns (2004)On the categorization of dema…Forecasting seasonals and trends by exponentially weighted moving averages (2004)Forecasting seasonals and tre…A new approach to forecasting intermittent demand for service parts inventories (2003)A new approach to forecasting…On the bias of intermittent demand estimates (2001)On the bias of intermittent d…The theta model: a decomposition approach to forecasting (2000)The theta model: a decomposit…Forecasting Trends in Time Series (1985)Forecasting Trends in Time Se…Forecasting and Stock Control for Intermittent Demands (1972)Forecasting and Stock Control…Smoothing, Forecasting and Prediction of Discrete Time Series. (1964)Smoothing, Forecasting and Pr…Combining probabilistic forecasts of intermittent demand (2024)Combining probabilistic forec…Joint maintenance and spare-parts inventory models: a review and discussion of practical stock-keeping rules (2023)Joint maintenance and spare-p…International Passenger Traffic at the Hellenic Airports: Impact of the COVID-19 Pandemic and Mid-Term Forecasting (2022)International Passenger Traff…Basket data-driven approach for omnichannel demand forecasting (2022)Basket data-driven approach f…Forecasting intermittent demand for inventory management by retailers: A new approach (2021)Forecasting intermittent dema…Forecasting in humanitarian operations: Literature review and research needs (2020)Forecasting in humanitarian o…Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review and annotated bibliography (1990)Forecasting: Methods and Applications (1999)The tourism forecasting competition (2010)Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction (2011)Forecast combinations: An over 50-year review (2022)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)The M3-Competition: results, conclusions and implications (2000)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Retail forecasting: Research and practice (2019)Probabilistic forecasting with temporal convolutional neural network (2020)Deep Learning for Time Series Forecasting: Tutorial and Literature Survey (2022)Developmental Evaluation: Applying Complexity Concepts to Enhance Innovation and Use (2010)Corporate tax avoidance and stock price crash risk: Firm-level analysis (2011)Why do humans reason? Arguments for an argumentative theory (2011)Lessons from 60 years of pharmaceutical innovation (2009)Predictive Analytics in Information Systems Research1 (2011)Low frequency filtering and real business cycles (1993)An overview of methods for determining OWA weights (2005)Exponential smoothing: The state of the art—Part II (2006)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)A new metric of absolute percentage error for intermittent demand forecasts (2016)Closing the Marketing Capabilities Gap (2011)Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err (2014)Critical analysis of Big Data challenges and analytical methods (2016)
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References

  • 2006Another look at measures of forecast accuracy5,736 cited
  • 2007The black swan: the impact of the highly improbable3,454 cited
  • 2008The Black Swan: The Impact of the Highly Improbable2,425 cited
  • 2004Forecasting seasonals and trends by exponentially weighted moving averages1,732 cited
  • 2007Competing on Analytics: The New Science of Winning1,133 cited
  • 1964Smoothing, Forecasting and Prediction of Discrete Time Series.968 cited
  • 2007Competing on analytics: the new science of winning941 cited
  • 1972Forecasting and Stock Control for Intermittent Demands761 cited
  • 2018The M4 Competition: Results, findings, conclusion and way forward634 cited
  • 2000The theta model: a decomposition approach to forecasting507 cited
  • 2004On the categorization of demand patterns432 cited
  • 1985Forecasting Trends in Time Series399 cited
  • 2003A new approach to forecasting intermittent demand for service parts inventories395 cited
  • 2001On the bias of intermittent demand estimates363 cited
  • 2015Supply chain forecasting: Theory, practice, their gap and the future331 cited
  • 2008

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Forecasting and operational research: a review
287 cited

Cited by

  • 2020Forecasting in humanitarian operations: Literature review and research needs62 cited
  • 2021Forecasting intermittent demand for inventory management by retailers: A new approach58 cited
  • 2022Basket data-driven approach for omnichannel demand forecasting39 cited
  • 2024Combining probabilistic forecasts of intermittent demand38 cited
  • 2023Joint maintenance and spare-parts inventory models: a review and discussion of practical stock-keeping rules35 cited
  • 2022International Passenger Traffic at the Hellenic Airports: Impact of the COVID-19 Pandemic and Mid-Term Forecasting15 cited