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On the stock control performance of intermittent demand estimators
11 references·16 citing·31 second hop
On the stock control performance of intermittent demand estimators (2005)On the stock control performance of inter…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…A combined forecast—inventory control procedure for spare parts (2000)A combined forecast—inventory…Inventory management and production planning and scheduling (1999)Inventory management and prod…Selecting the best periodic inventory control and demand forecasting methods for low demand items (1997)Selecting the best periodic i…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…Stock Control with Sporadic and Slow-Moving Demand (1984)Stock Control with Sporadic a…Determining Reorder Points When Demand is Lumpy (1978)Determining Reorder Points Wh…Forecasting and Stock Control for Intermittent Demands (1972)Forecasting and Stock Control…Intermittent demand forecasting for spare parts: A Critical review (2021)Intermittent demand forecasti…Optimising Forecasting Models for Inventory Planning (2019)Optimising Forecasting Models…Forecasting spare part demand using service maintenance information (2019)Forecasting spare part demand…The inventory performance of forecasting methods: Evidence from the M3 competition data (2018)The inventory performance of …A new method to forecast intermittent demand in the presence of inventory obsolescence (2018)A new method to forecast inte…Reshaping the Washing Machine Industry through Circular Economy and Product-Service System Business Models (2017)Reshaping the Washing Machine…Old dog, new tricks: a modelling view of simple moving averages (2017)Old dog, new tricks: a modell…Forecasting intermittent inventory demands: simple parametric methods vs. bootstrapping (2015)Forecasting intermittent inve…On intermittent demand model optimisation and selection (2014)On intermittent demand model …Forecast combinations for intermittent demand (2014)Forecast combinations for int…Evaluation of forecasting error measurements and techniques for intermittent demand (2010)Evaluation of forecasting err…Judging the judges through accuracy-implication metrics: The case of inventory forecasting (2009)Judging the judges through ac…Determining order-up-to levels under periodic review for compound binomial (intermittent) demand (2009)Determining order-up-to level…The effects of integrating management judgement into intermittent demand forecasts (2008)The effects of integrating ma…On the bias of Croston’s forecasting method (2008)On the bias of Croston’s fore…The accuracy of a Modified Croston procedure (2006)The accuracy of a Modified Cr…Statistical Forecasting for Inventory Control. (1960)Computing Optimal (s, S) Inventory Policies (1965)Evaluation of forecasting methods for intermittent parts demand in the field of aviation: a predictive model (2003)Forecasting and operational research: a review (2008)Intermittent demand forecasts with neural networks (2013)Time Series Analysis: Forecasting and Control (1977)25 years of time series forecasting (2006)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Forecasting Sales by Exponentially Weighted Moving Averages (1960)Decision Systems for Inventory Management and Production Planning (1979)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)The M3-Competition: results, conclusions and implications (2000)Exponential smoothing: The state of the art—Part II (2006)We need to talk about intermittent demand forecasting (2020)Production and inventory management (1983)The Combination of Forecasts (1969)Combining forecasts: A review and annotated bibliography (1989)Automatic Time Series Forecasting: The forecast Package for R (2008)Distributions of forecasting errors of forecast combinations: Implications for inventory management (2016)Another look at forecast selection and combination: Evidence from forecast pooling (2018)Comparison of statistical and machine learning methods for daily SKU demand forecasting (2020)The single-period (news-vendor) problem: literature review and suggestions for future research (1999)Flow Coordination and Information Sharing in Supply Chains: Review, Implications, and Directions for Future Research (2002)Supply Chain Coordination with Contracts (2003)Forecasting intermittent demand: a comparative study (2008)Forecasting for inventory planning: a 50-year review (2009)Forecasting the intermittent demand for slow-moving inventories: A modelling approach (2011)A Survey of Forecast Error Measures (2013)Supply chain forecasting: Theory, practice, their gap and the future (2015)Retail forecasting: Research and practice (2019)Intermittent demand: Linking forecasting to inventory obsolescence (2011)
this work references cited by second hop

References

  • 1999Inventory management and production planning and scheduling2,787 cited
  • 1972Forecasting and Stock Control for Intermittent Demands761 cited
  • 2004The accuracy of intermittent demand estimates498 cited
  • 2001On the bias of intermittent demand estimates363 cited
  • 1994Forecasting intermittent demand in manufacturing: a comparative evaluation of Croston's method236 cited
  • 2004Forecasting for the ordering and stock-holding of spare parts214 cited
  • 1984Stock Control with Sporadic and Slow-Moving Demand156 cited
  • 1997Selecting the best periodic inventory control and demand forecasting methods for low demand items153 cited
  • 1987Forecasting and Inventory Control for Sporadic Demand Under Periodic Review95 cited
  • 1978Determining Reorder Points When Demand is Lumpy94 cited
  • 2000A combined forecast—inventory control procedure for spare parts91 cited

Cited by

  • 2014Forecast combinations for intermittent demand129 cited
  • 2015Forecasting intermittent inventory demands: simple parametric methods vs. bootstrapping119 cited
  • 2009Judging the judges through accuracy-implication metrics: The case of inventory forecasting117 cited
  • 2008

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The effects of integrating management judgement into intermittent demand forecasts
114 cited
  • 2019Optimising Forecasting Models for Inventory Planning110 cited
  • 2010Evaluation of forecasting error measurements and techniques for intermittent demand100 cited
  • 2008On the bias of Croston’s forecasting method93 cited
  • 2021Intermittent demand forecasting for spare parts: A Critical review89 cited
  • 2014On intermittent demand model optimisation and selection88 cited
  • 2017Reshaping the Washing Machine Industry through Circular Economy and Product-Service System Business Models78 cited
  • 2017Old dog, new tricks: a modelling view of simple moving averages78 cited
  • 2019Forecasting spare part demand using service maintenance information73 cited
  • 2018A new method to forecast intermittent demand in the presence of inventory obsolescence72 cited
  • 2009Determining order-up-to levels under periodic review for compound binomial (intermittent) demand71 cited
  • 2018The inventory performance of forecasting methods: Evidence from the M3 competition data70 cited
  • 2006The accuracy of a Modified Croston procedure69 cited