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Impact of temporal aggregation on stock control performance of intermittent demand estimators: Empirical analysis

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References

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1994Forecasting intermittent demand in manufacturing: a comparative evaluation of Croston's method236 cited
2007Lumpy demand forecasting using neural networks220 cited

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2004Forecasting for the ordering and stock-holding of spare parts214 cited

Cited by

2014Forecast combinations for intermittent demand129 cited
2015Forecasting intermittent inventory demands: simple parametric methods vs. bootstrapping119 cited
2020We need to talk about intermittent demand forecasting91 cited
2021Intermittent demand forecasting for spare parts: A Critical review89 cited
2014On intermittent demand model optimisation and selection88 cited
2021Demand forecasting in supply chains: a review of aggregation and hierarchical approaches87 cited
2020A cross-temporal hierarchical framework and deep learning for supply chain forecasting76 cited
2013Demand forecasting by temporal aggregation75 cited
2018The inventory performance of forecasting methods: Evidence from the M3 competition data70 cited
2016Forecasting supply chain sporadic demand with nearest neighbor approaches68 cited
2021Forecasting intermittent demand for inventory management by retailers: A new approach58 cited
2017Demand forecasting by temporal aggregation: Using optimal or multiple aggregation levels?54 cited
2018A greedy aggregation–decomposition method for intermittent demand forecasting in fashion retailing52 cited
2021Forecasting hierarchical time series in supply chains: an empirical investigation51 cited
2021Forecasting of lead-time demand variance: Implications for safety stock calculations41 cited
2020On the empirical performance of some new neural network methods for forecasting intermittent demand41 cited