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Contextual Data-Integrated Newsvendor Solution with Operational Data Analytics (ODA)
16 references·0 citing·35 second hop
Contextual Data-Integrated Newsvendor Solution with Operational Data Analytics (ODA) (2025)Contextual Data-Integrated Newsvendor Sol…Distributionally Robust Stochastic Optimization with Wasserstein Distance (2022)Distributionally Robust Stoch…Smart “Predict, then Optimize” (2021)Smart “Predict, then Optimize”A Deep Q-Network for the Beer Game: Deep Reinforcement Learning for Inventory Optimization (2021)A Deep Q-Network for the Beer…Online Decision Making with High-Dimensional Covariates (2019)Online Decision Making with H…From Predictive to Prescriptive Analytics (2019)From Predictive to Prescripti…The Big Data Newsvendor: Practical Insights from Machine Learning (2018)The Big Data Newsvendor: Prac…The Operational Value of Social Media Information (2015)The Operational Value of Soci…Data-Driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations (2015)Data-Driven Distributionally …Robust Solutions of Optimization Problems Affected by Uncertain Probabilities (2012)Robust Solutions of Optimizat…Time series analysis forecasting and control (2009)Time series analysis forecast…Robust Optimization (2009)Robust OptimizationThe Effect of Collaborative Forecasting on Supply Chain Performance (2001)The Effect of Collaborative F…A quantile regression neural network approach to estimating the conditional density of multiperiod returns (2000)A quantile regression neural …A Single-Item Inventory Model for a Nonstationary Demand Process (1999)A Single-Item Inventory Model…Robust Convex Optimization (1998)Robust Convex OptimizationBayes Solution to Dynamic Inventory Models Under Unknown Demand Distribution (1985)Bayes Solution to Dynamic Inv…Maxmin expected utility with non-unique prior (1989)Coherent Measures of Risk (1999)Recent advances in robust optimization: An overview (2013)Distributionally Robust Convex Optimization (2014)A Stochastic Approximation Method (1951)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Optimization of conditional value-at-risk (2000)Impact of business analytics and enterprise systems on managerial accounting (2017)Frameworks and Results in Distributionally Robust Optimization (2022)Robust Optimization of Large-Scale Systems (1995)Robust Discrete Optimization and Its Applications (1997)Robust Discrete Optimization and Its Applications. (1998)Theory and Applications of Robust Optimization (2010)Theory and Applications of Robust Optimization (2011)Studies in Mathematical Theory of Inventory and Production (1959)Information Distortion in a Supply Chain: The Bullwhip Effect (1997)What is the Right Supply Chain for Your Product (1997)The effect of supply chain glitches on shareholder wealth (2003)Association Between Supply Chain Glitches and Operating Performance (2005)Perspectives in supply chain risk management (2006)Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems (2010)Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations (2017)Quantifying Distributional Model Risk via Optimal Transport (2019)Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning (2019)Dynamic Version of the Economic Lot Size Model (1958)Dynamic Version of the Economic Lot Size Model (2004)From natural language to simulations: applying AI to automate simulation modelling of logistics systems (2023)Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability (2023)The Price of Robustness (2004)Data-driven robust optimization (2017)The Distribution Free Newsboy Problem: Review and Extensions (1993)Lectures on Stochastic Programming (2009)Short-Term Prediction of Traffic Volume in Urban Arterials (1995)Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)Forecasting: theory and practice (2022)
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References

  • 2009Robust Optimization3,008 cited
  • 2009Time series analysis forecasting and control2,614 cited
  • 1998Robust Convex Optimization2,606 cited
  • 2015Data-Driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations1,869 cited
  • 2021Smart “Predict, then Optimize”880 cited
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  • 2022Distributionally Robust Stochastic Optimization with Wasserstein Distance687 cited
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  • 2015The Operational Value of Social Media Information409 cited
  • 2000A quantile regression neural network approach to estimating the conditional density of multiperiod returns393 cited
  • 1985Bayes Solution to Dynamic Inventory Models Under Unknown Demand Distribution341 cited
  • 2019Online Decision Making with High-Dimensional Covariates

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335 cited
  • 2021A Deep Q-Network for the Beer Game: Deep Reinforcement Learning for Inventory Optimization322 cited
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