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Data‐Driven Inventory Control with Shifting Demand
16 references·3 citing·48 second hop
Data‐Driven Inventory Control with Shifting Demand (2020)Data‐Driven Inventory Control with Shifti…The Big Data Newsvendor: Practical Insights from Machine Learning (2018)The Big Data Newsvendor: Prac…Chasing Demand: Learning and Earning in a Changing Environment (2016)Chasing Demand: Learning and …The Data-Driven Newsvendor Problem: New Bounds and Insights (2015)The Data-Driven Newsvendor Pr…On the (Surprising) Sufficiency of Linear Models for Dynamic Pricing with Demand Learning (2015)On the (Surprising) Sufficien…Non-Stationary Stochastic Optimization (2015)Non-Stationary Stochastic Opt…Dynamic Pricing with an Unknown Demand Model: Asymptotically Optimal Semi-Myopic Policies (2014)Dynamic Pricing with an Unkno…Simultaneously Learning and Optimizing Using Controlled Variance Pricing (2013)Simultaneously Learning and O…On Implications of Demand Censoring in the Newsvendor Problem (2013)On Implications of Demand Cen…Adaptive Data-Driven Inventory Control with Censored Demand Based on Kaplan-Meier Estimator (2011)Adaptive Data-Driven Inventor…A Nonparametric Asymptotic Analysis of Inventory Planning with Censored Demand (2009)A Nonparametric Asymptotic An…Provably Near-Optimal Sampling-Based Policies for Stochastic Inventory Control Models (2007)Provably Near-Optimal Samplin…Optimal Policies for Multiechelon Inventory Problems with Markov-Modulated Demand (2001)Optimal Policies for Multiech…A Single-Item Inventory Model for a Nonstationary Demand Process (1999)A Single-Item Inventory Model…A Capacitated Production-Inventory Model with Periodic Demand (1998)A Capacitated Production-Inve…Inventory Control in a Fluctuating Demand Environment (1993)Inventory Control in a Fluctu…Dynamic Inventory Policy with Varying Stochastic Demands (1960)Dynamic Inventory Policy with…A systematic review of machine learning approaches in inventory control optimization (2025)A systematic review of machin…Feature-Based Inventory Control with Censored Demand (2024)Feature-Based Inventory Contr…Adaptive inventory replenishment using structured reinforcement learning by exploiting a policy structure (2023)Adaptive inventory replenishm…Foundations of Inventory Management (2000)The Sample Average Approximation Method for Stochastic Discrete Optimization (2002)Stochastic Simulation (2007)Robust sample average approximation (2017)Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming (2019)Distributionally Robust Stochastic Optimization with Wasserstein Distance (2022)Quantitative Models for Supply Chain Management (1999)Robust Approximation to Multiperiod Inventory Management (2009)Time Series Analysis: Forecasting and Control (1977)Information Distortion in a Supply Chain: The Bullwhip Effect (1997)Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information (2000)In Search of the Bullwhip Effect (2007)The bullwhip effect: Progress, trends and directions (2015)Forecasting: theory and practice (2022)Optimal Inventory Policy (1951)Theory of Games and Statistical Decisions. (1955)On the Opimality of $( {s,S} )$ Inventory Policies: New Conditions and a New Proof (1966)The Status of Mathematical Inventory Theory (1966)The impact of forecasting methods on the bullwhip effect (2003)The Optimality of (S,s) Policies in the Dynamic Inventory Problem (2005)Analysis of Inventory Systems. (1964)Matrix-Geometric Solutions to Stochastic Models (1984)Customer-Order Information, Leadtimes, and Inventories (1995)Integrating Replenishment Decisions with Advance Demand Information (2001)Risk Aversion in Inventory Management (2007)Finite-time Analysis of the Multiarmed Bandit Problem (2002)Online convex programming and generalized infinitesimal gradient ascent (2003)Pricing and revenue optimization (2002)Pricing and Revenue Optimization (2005)Dynamic Pricing Without Knowing the Demand Function: Risk Bounds and Near-Optimal Algorithms (2009)Recent Developments in Dynamic Pricing Research: Multiple Products, Competition, and Limited Demand Information (2014)Online Network Revenue Management Using Thompson Sampling (2018)A Stochastic Approximation Method (1951)Robust Convex Optimization (1998)Prediction, Learning, and Games (2006)Online Optimization : Competing with Dynamic Comparators (2015)Online optimization in dynamic environments: Improved regret rates for strongly convex problems (2016)An Online Convex Optimization Approach to Proactive Network Resource Allocation (2017)Studies in Mathematical Theory of Inventory and Production (1959)The Distribution Free Newsboy Problem: Review and Extensions (1993)How Research in Production and Operations Management May Evolve in the Era of Big Data (2017)Smart “Predict, then Optimize” (2021)Frameworks and Results in Distributionally Robust Optimization (2022)Stochastic Estimation of the Maximum of a Regression Function (1952)A two-armed bandit theory of market pricing (1974)The robust beauty of improper linear models in decision making. (1979)Close the Gaps: A Learning-While-Doing Algorithm for Single-Product Revenue Management Problems (2014)Mapping the Ethicality of Algorithmic Pricing: A Review of Dynamic and Personalized Pricing (2019)
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References

  • 2018The Big Data Newsvendor: Practical Insights from Machine Learning510 cited
  • 1999A Single-Item Inventory Model for a Nonstationary Demand Process453 cited
  • 1993Inventory Control in a Fluctuating Demand Environment373 cited
  • 2015Non-Stationary Stochastic Optimization336 cited
  • 1960Dynamic Inventory Policy with Varying Stochastic Demands303 cited
  • 2014Dynamic Pricing with an Unknown Demand Model: Asymptotically Optimal Semi-Myopic Policies302 cited
  • 2007Provably Near-Optimal Sampling-Based Policies for Stochastic Inventory Control Models261 cited
  • 2015The Data-Driven Newsvendor Problem: New Bounds and Insights260 cited
  • 2015On the (Surprising) Sufficiency of Linear Models for Dynamic Pricing with Demand Learning225 cited
  • 2009A Nonparametric Asymptotic Analysis of Inventory Planning with Censored Demand220 cited
  • 2013Simultaneously Learning and Optimizing Using Controlled Variance Pricing214 cited
  • 2011Adaptive Data-Driven Inventory Control with Censored Demand Based on Kaplan-Meier Estimator182 cited
  • 2001Optimal Policies for Multiechelon Inventory Problems with Markov-Modulated Demand177 cited
  • 2013On Implications of Demand Censoring in the Newsvendor Problem177 cited
  • 1998

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A Capacitated Production-Inventory Model with Periodic Demand
150 cited
  • 2016Chasing Demand: Learning and Earning in a Changing Environment139 cited
  • Cited by

    • 2023Adaptive inventory replenishment using structured reinforcement learning by exploiting a policy structure17 cited
    • 2024Feature-Based Inventory Control with Censored Demand16 cited
    • 2025A systematic review of machine learning approaches in inventory control optimization15 cited