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On the empirical performance of (T,s,S) heuristics
16 references·11 citing·30 second hop
On the empirical performance of (T,s,S) heuristics (2009)On the empirical performance of (T,s,S) h…On the bias of Croston’s forecasting method (2008)On the bias of Croston’s fore…An inventory control system for spare parts at a refinery: An empirical comparison of different re-order point methods (2007)An inventory control system f…Classification for forecasting and stock control: a case study (2006)Classification for forecastin…The Optimality of (S,s) Policies in the Dynamic Inventory Problem (2005)The Optimality of (S,s) Polic…The accuracy of intermittent demand estimates (2004)The accuracy of intermittent …On the categorization of demand patterns (2004)On the categorization of dema…On the bias of intermittent demand estimates (2001)On the bias of intermittent d…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 for Items with Intermittent Demand (1996)Forecasting for Items with In…Numerical Comparisons of Inventory Policies for Periodic Review Systems (1985)Numerical Comparisons of Inve…Simple approximations for the reorder point in periodic and continuous review (s, S) inventory systems with service level constraints (1984)Simple approximations for the…The Power Approximation for Computing (s, S) Inventory Policies (1979)The Power Approximation for C…(s, S) Policies Under Continuous Review and Discrete Compound Poisson Demand (1978)(s, S) Policies Under Continu…Forecasting and Stock Control for Intermittent Demands (1972)Forecasting and Stock Control…Computing Optimal (s, S) Inventory Policies (1965)Computing Optimal (s, S) Inve…Forecast accuracy and inventory performance: Insights on their relationship from the M5 competition data (2025)Forecast accuracy and invento…Computing optimal ( R,s,S ) policy parameters by a hybrid of branch-and-bound and stochastic dynamic programming (2021)Computing optimal ( R,s,S ) p…Undershoot and order quantity probability distributions in periodic review, reorder point, order-up-to-level inventory systems with continuous demand (2020)Undershoot and order quantity…On the performance of adjusted bootstrapping methods for intermittent demand forecasting (2019)On the performance of adjuste…The inventory performance of forecasting methods: Evidence from the M3 competition data (2018)The inventory performance of …Multi-criteria inventory classification: new consensual procedures (2015)Multi-criteria inventory clas…The value of real time yield information in multi-stage inventory systems – Exact and heuristic approaches (2014)The value of real time yield …Periodic review inventory systems with a service level criterion (2013)Periodic review inventory sys…The Accuracy of Non‐traditional versus Traditional Methods of Forecasting Lumpy Demand (2011)The Accuracy of Non‐tradition…Effects of correlation on intermittent demand forecasting and stock control (2011)Effects of correlation on int…Distributional Assumptions for Parametric Forecasting of Intermittent Demand (2011)Distributional Assumptions fo…Time Series Analysis: Forecasting and Control (1977)25 years of time series forecasting (2006)Automatic Time Series Forecasting: The forecast Package for R (2008)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Optimality of ( s , S ) Policies in the Infinite Horizon Dynamic Inventory Problem (1963)MODELING THE EVOLUTION OF DEMAND FORECASTS ITH APPLICATION TO SAFETY STOCK ANALYSIS IN PRODUCTION/DISTRIBUTION SYSTEMS (1994)Cold supply chain design with environmental considerations: A simulation-optimization approach (2015)Optimal Inventory Policy (1951)On the Opimality of $( {s,S} )$ Inventory Policies: New Conditions and a New Proof (1966)The Status of Mathematical Inventory Theory (1966)The Stabilizing Effect of Inventory in Supply Chains (1998)Supply Chain Management: Strategy, Planning and Operations (2000)Intermittent demand: Linking forecasting to inventory obsolescence (2011)OR in spare parts management: A review (2017)The Pattern of Consumer Purchases (1959)Forecasting sales of slow and fast moving inventories (2002)Forecasting intermittent demand: a comparative study (2008)Forecasting the intermittent demand for slow-moving inventories: A modelling approach (2011)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)The M3-Competition: results, conclusions and implications (2000)A Survey of Forecast Error Measures (2013)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 and operational research: a review (2008)Supply chain forecasting: Theory, practice, their gap and the future (2015)Retail forecasting: Research and practice (2019)Intermittent demand forecasts with neural networks (2013)Inflation and Costs of Price Adjustment (1977)The Costs of Environmental Regulation in a Concentrated Industry (2012)
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References

  • 1999Inventory management and production planning and scheduling2,787 cited
  • 1972Forecasting and Stock Control for Intermittent Demands761 cited
  • 2005The Optimality of (S,s) Policies in the Dynamic Inventory Problem711 cited
  • 2004The accuracy of intermittent demand estimates498 cited
  • 2004On the categorization of demand patterns432 cited
  • 2001On the bias of intermittent demand estimates363 cited
  • 1965Computing Optimal (s, S) Inventory Policies302 cited
  • 1996Forecasting for Items with Intermittent Demand199 cited
  • 2007An inventory control system for spare parts at a refinery: An empirical comparison of different re-order point methods188 cited
  • 1979The Power Approximation for Computing (s, S) Inventory Policies168 cited
  • 2006Classification for forecasting and stock control: a case study164 cited
  • 1997Selecting the best periodic inventory control and demand forecasting methods for low demand items153 cited
  • 1984Simple approximations for the reorder point in periodic and continuous review (s, S) inventory systems with service level constraints127 cited
  • 1978(s, S) Policies Under Continuous Review and Discrete Compound Poisson Demand115 cited
  • 2008On the bias of Croston’s forecasting method

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93 cited
  • 1985Numerical Comparisons of Inventory Policies for Periodic Review Systems86 cited
  • Cited by

    • 2018The inventory performance of forecasting methods: Evidence from the M3 competition data70 cited
    • 2011The Accuracy of Non‐traditional versus Traditional Methods of Forecasting Lumpy Demand50 cited
    • 2019On the performance of adjusted bootstrapping methods for intermittent demand forecasting41 cited
    • 2011Distributional Assumptions for Parametric Forecasting of Intermittent Demand33 cited
    • 2015Multi-criteria inventory classification: new consensual procedures31 cited
    • 2011Effects of correlation on intermittent demand forecasting and stock control30 cited
    • 2013Periodic review inventory systems with a service level criterion25 cited
    • 2025Forecast accuracy and inventory performance: Insights on their relationship from the M5 competition data23 cited
    • 2021Computing optimal ( R,s,S ) policy parameters by a hybrid of branch-and-bound and stochastic dynamic programming23 cited
    • 2014The value of real time yield information in multi-stage inventory systems – Exact and heuristic approaches19 cited
    • 2020Undershoot and order quantity probability distributions in periodic review, reorder point, order-up-to-level inventory systems with continuous demand14 cited