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Intermittent demand forecasting with transformer neural networks
16 references·0 citing·33 second hop
Intermittent demand forecasting with transformer neural networks (2023)Intermittent demand forecasting with tran…OR in spare parts management: A review (2017)OR in spare parts management:…Single-hidden layer neural networks for forecasting intermittent demand (2016)Single-hidden layer neural ne…Supply chain forecasting: Theory, practice, their gap and the future (2015)Supply chain forecasting: The…Forecasting intermittent inventory demands: simple parametric methods vs. bootstrapping (2015)Forecasting intermittent inve…Intermittent demand forecasts with neural networks (2013)Intermittent demand forecasts…Intermittent demand: Linking forecasting to inventory obsolescence (2011)Intermittent demand: Linking …An aggregate–disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis (2010)An aggregate–disaggregate int…Lumpy demand forecasting using neural networks (2007)Lumpy demand forecasting usin…A new approach of forecasting intermittent demand for spare parts inventories in the process industries (2006)A new approach of forecasting…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 …Inventory control with a modified Croston procedure and Erlang distribution (2003)Inventory control with a modi…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…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Forecasting and Stock Control for Intermittent Demands (1972)Forecasting and Stock Control…Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Financial time series forecasting using support vector machines (2003)Time series forecasting using a hybrid ARIMA and neural network model (2003)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Forecasting intermittent demand in manufacturing: a comparative evaluation of Croston's method (1994)On the stock control performance of intermittent demand estimators (2005)Forecasting intermittent demand: a comparative study (2008)Forecasting for inventory planning: a 50-year review (2009)Production and inventory management (1983)Inventory management and production planning and scheduling (1999)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)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)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)Information Distortion in a Supply Chain: The Bullwhip Effect (1997)Supply Chain Management: Strategy, Planning and Operations (2000)Supply Chain Management: Strategy, Planning, and Operation (2003)Literature review: Strategic network optimization models in waste reverse supply chains (2018)Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion (2020)Machine learning demand forecasting and supply chain performance (2020)25 years of time series forecasting (2006)Automatic Time Series Forecasting: The forecast Package for R (2008)
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  • 2015Supply chain forecasting: Theory, practice, their gap and the future331 cited
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  • 2013Intermittent demand forecasts with neural networks231 cited
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  • 2016Single-hidden layer neural networks for forecasting intermittent demand140 cited
  • 2003Inventory control with a modified Croston procedure and Erlang distribution129 cited
  • 2015Forecasting intermittent inventory demands: simple parametric methods vs. bootstrapping

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119 cited
  • 2006A new approach of forecasting intermittent demand for spare parts inventories in the process industries111 cited
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