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ArticleForecasting intermittent inventory demands: simple parametric methods vs. bootstrapping

Aris A Syntetos2015

Article2015

Forecasting intermittent inventory demands: simple parametric methods vs. bootstrapping

Aris A Syntetos · M. Zied Babaï · Everette S. Gardner

119 citations·0/0 files stored·Journal of Business Research

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Forecasting Techniques and Applications Reliability and Maintenance Optimization Supply Chain and Inventory Management

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References

2000The M3-Competition: results, conclusions and implications 1982The accuracy of extrapolation (time series) methods: Results of a forecasting competition 2006Exponential smoothing: The state of the art—Part II 1960Statistical Forecasting for Inventory Control.1972Forecasting and Stock Control for Intermittent Demands 2004The accuracy of intermittent demand estimates 2003A new approach to forecasting intermittent demand for service parts inventories 2001On the bias of intermittent demand estimates

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2019Optimising Forecasting Models for Inventory Planning 2020We need to talk about intermittent demand forecasting 2021Intermittent demand forecasting for spare parts: A Critical review 2021Demand forecasting in supply chains: a review of aggregation and hierarchical approaches 2017Demand Forecasting for Irregular Demands in Business Aircraft Spare Parts Supply Chains by using Artificial Intelligence (AI)2018

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2014On intermittent demand model optimisation and selectionarticle · 22 shared references 2014Forecast combinations for intermittent demandarticle · 18 shared references 2020On the empirical performance of some new neural network methods for forecasting intermittent demandarticle · 18 shared references 2021Intermittent demand forecasting for spare parts: A Critical reviewarticle · 17 shared references 2018A greedy aggregation–decomposition method for intermittent demand forecasting in fashion retailingarticle · 16 shared references 2016Exploiting elapsed time for managing intermittent demand for spare partsarticle · 15 shared references

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Year2015

Typearticle

Published2015-04-10

VenueJournal of Business Research

ISSN-L0148-2963

Languageen

Citations119

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.jbusres.2015.03.034

openalex_workW2095081606

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A new method to forecast intermittent demand in the presence of inventory obsolescence

2018The inventory performance of forecasting methods: Evidence from the M3 competition data

2016Forecasting supply chain sporadic demand with nearest neighbor approaches