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Spare parts management: Linking distributional assumptions to demand classification

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References

1972Forecasting and Stock Control for Intermittent Demands761 cited
2004On the categorization of demand patterns432 cited
2011Spare parts classification and demand forecasting for stock control: Investigating the gap between research and practice249 cited
1966The (S − 1, S) Inventory Policy Under Compound Poisson Demand211 cited
2007An inventory control system for spare parts at a refinery: An empirical comparison of different re-order point methods188 cited
2009ABC Classification: Service Levels and Inventory Costs179 cited
1966Compound Poisson Distributions166 cited
1984Stock Control with Sporadic and Slow-Moving Demand156 cited
2009Demand categorisation in a European spare parts logistics network115 cited
1978(s, S) Policies Under Continuous Review and Discrete Compound Poisson Demand115 cited
2012SKU classification: a literature review and conceptual framework112 cited
2011On the demand distributions of spare parts101 cited
2000Stocking strategy for service parts – a case study94 cited
1978Determining Reorder Points When Demand is Lumpy94 cited
2010Analysis of order-up-to-level inventory systems with compound Poisson demand

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78 cited

1999Control of service parts73 cited

Cited by

2021Intermittent demand forecasting for spare parts: A Critical review89 cited
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2018Spare parts demand forecasting: a review on bootstrapping methods62 cited
2016Spare part demand forecasting for consumer goods using installed base information62 cited
2017An improved method for forecasting spare parts demand using extreme value theory50 cited
2018Joint pricing and lot-sizing for a perishable item under two-level trade credit with multiple demand classes48 cited
2016Exact Analysis of Divergent Inventory Systems with Time-Based Shipment Consolidation and Compound Poisson Demand44 cited
2019Forecasting for remanufacturing: The effects of serialization41 cited
2019On the performance of adjusted bootstrapping methods for intermittent demand forecasting41 cited
2020On the empirical performance of some new neural network methods for forecasting intermittent demand41 cited
2020A compound-Poisson Bayesian approach for spare parts inventory forecasting39 cited
2019A periodic inventory system of intermittent demand items with fixed lifetimes34 cited
2020Analysis of base-stock perishable inventory systems with general lifetime and lead-time34 cited
2021Tailoring inventory classification to industry applications: the benefits of understandable machine learning34 cited
2021Spare parts inventory routing problem with transshipment and substitutions under stochastic demands29 cited
2021Advances in Spare Parts Classification and Forecasting for Inventory Control: A Literature Review24 cited