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Data-driven inventory policy: Learning from sequentially observed non-stationary data
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Data-driven inventory policy: Learning from sequentially observed non-stationary data (2023)Data-driven inventory policy: Learning fr…A data-driven robust optimization model by cutting hyperplanes on vaccine access uncertainty in COVID-19 vaccine supply chain (2022)A data-driven robust optimiza…Technical Note—Nonparametric Data-Driven Algorithms for Multiproduct Inventory Systems with Censored Demand (2016)Technical Note—Nonparametric …The Data-Driven Newsvendor Problem: New Bounds and Insights (2015)The Data-Driven Newsvendor Pr…Data-Driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations (2015)Data-Driven Distributionally …Safety stock planning under causal demand forecasting (2011)Safety stock planning under c…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…The Optimizer’s Curse: Skepticism and Postdecision Surprise in Decision Analysis (2006)The Optimizer’s Curse: Skepti…A practical inventory control policy using operational statistics (2004)A practical inventory control…An Adaptive, Distribution-Free Algorithm for the Newsvendor Problem with Censored Demands, with Applications to Inventory and Distribution (2001)An Adaptive, Distribution-Fre…Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information (2000)Quantifying the Bullwhip Effe…Adaptive Ordering and Pricing for Perishable Products (2000)Adaptive Ordering and Pricing…A Single-Item Inventory Model for a Nonstationary Demand Process (1999)A Single-Item Inventory Model…Optimality of ( s , S ) Policies in Inventory Models with Markovian Demand (1997)Optimality of ( s , S ) Polic…Inventory Control in a Fluctuating Demand Environment (1993)Inventory Control in a Fluctu…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)Scenarios and Policy Aggregation in Optimization Under Uncertainty (1991)Stochastic Programming (1995)Robust Approximation to Multiperiod Inventory Management (2009)Stochastic Programming (2010)Quantitative Models for Supply Chain Management (1999)Time Series Analysis: Forecasting and Control (1977)Information Distortion in a Supply Chain: The Bullwhip Effect (1997)In Search of the Bullwhip Effect (2007)The bullwhip effect: Progress, trends and directions (2015)Forecasting: theory and practice (2022)Production and inventory management (1983)The Bullwhip Effect In Supply Chains 1 (1997)Perspectives in supply chain risk management (2006)Supply chain coordination: Perspectives, empirical studies and research directions (2008)A Contingent Resource‐Based Perspective of Supply Chain Resilience and Robustness (2014)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)The Optimality of (S,s) Policies in the Dynamic Inventory Problem (2005)Risk Aversion in Inventory Management (2007)Risk, Ambiguity, and the Savage Axioms (1961)Disappointment in Decision Making Under Uncertainty (1985)The Winner's Curse: Paradoxes and Anomalies of Economic Life. (1993)Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning (2019)Finite-time Analysis of the Multiarmed Bandit Problem (2002)Online convex programming and generalized infinitesimal gradient ascent (2003)On Implications of Demand Censoring in the Newsvendor Problem (2013)Non-Stationary Stochastic Optimization (2015)Optimization of conditional value-at-risk (2000)The Price of Robustness (2004)Robust Optimization (2009)Data-driven robust optimization (2017)Frameworks and Results in Distributionally Robust Optimization (2022)Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost: The Infinite Horizon Case (2004)A Partially Observed Markov Decision Process for Dynamic Pricing (2005)On the Structure of Lost-Sales Inventory Models (2008)
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References

  • 2015Data-Driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations1,869 cited
  • 2000Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information1,805 cited
  • 1999A Single-Item Inventory Model for a Nonstationary Demand Process453 cited
  • 1993Inventory Control in a Fluctuating Demand Environment373 cited
  • 2006The Optimizer’s Curse: Skepticism and Postdecision Surprise in Decision Analysis314 cited
  • 2007Provably Near-Optimal Sampling-Based Policies for Stochastic Inventory Control Models261 cited
  • 2015The Data-Driven Newsvendor Problem: New Bounds and Insights260 cited
  • 1997Optimality of ( s , S ) Policies in Inventory Models with Markovian Demand260 cited
  • 2001An Adaptive, Distribution-Free Algorithm for the Newsvendor Problem with Censored Demands, with Applications to Inventory and Distribution220 cited
  • 2009A Nonparametric Asymptotic Analysis of Inventory Planning with Censored Demand220 cited
  • 2004A practical inventory control policy using operational statistics216 cited
  • 2011Adaptive Data-Driven Inventory Control with Censored Demand Based on Kaplan-Meier Estimator182 cited
  • 2011Safety stock planning under causal demand forecasting152 cited
  • 2000Adaptive Ordering and Pricing for Perishable Products

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147 cited
  • 2022A data-driven robust optimization model by cutting hyperplanes on vaccine access uncertainty in COVID-19 vaccine supply chain85 cited
  • 2016Technical Note—Nonparametric Data-Driven Algorithms for Multiproduct Inventory Systems with Censored Demand84 cited
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