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A practical inventory control policy using operational statistics

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References

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1985Bayes Solution to Dynamic Inventory Models Under Unknown Demand Distribution341 cited
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1999Stalking Information: Bayesian Inventory Management with Unobserved Lost Sales258 cited

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2013Robust Stochastic Lot‐Sizing by Means of Histograms110 cited
2007Solving operational statistics via a Bayesian analysis105 cited
2020A Review of Robust Operations Management under Model Uncertainty96 cited
2015The Big Data Newsvendor: Practical Insights from Machine Learning

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2021Nonparametric Learning Algorithms for Joint Pricing and Inventory Control with Lost Sales and Censored Demand85 cited

2016Technical Note—Nonparametric Data-Driven Algorithms for Multiproduct Inventory Systems with Censored Demand84 cited

2016Dynamic Pricing with Demand Covariates83 cited

2021Marrying Stochastic Gradient Descent with Bandits: Learning Algorithms for Inventory Systems with Fixed Costs72 cited

2023How Big Should Your Data Really Be? Data-Driven Newsvendor: Learning One Sample at a Time70 cited

2019Quantile forecasting and data-driven inventory management under nonstationary demand59 cited

2014The Newsvendor Under Demand Ambiguity: Combining Data with Moment and Tail Information58 cited

2006Model Uncertainty, Robust Optimization, and Learning58 cited