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From predictive to prescriptive analytics: A data-driven multi-item newsvendor model
16 references·7 citing·38 second hop
From predictive to prescriptive analytics: A data-driven multi-item newsvendor model (2020)From predictive to prescriptive analytics…The Big Data Newsvendor: Practical Insights from Machine Learning (2018)The Big Data Newsvendor: Prac…Exploring the use of deep neural networks for sales forecasting in fashion retail (2018)Exploring the use of deep neu…Deep learning with long short-term memory networks for financial market predictions (2017)Deep learning with long short…Inventory and Production Management in Supply Chains (2016)Inventory and Production Mana…The Data-Driven Newsvendor Problem: New Bounds and Insights (2015)The Data-Driven Newsvendor Pr…Analytics for an Online Retailer: Demand Forecasting and Price Optimization (2015)Analytics for an Online Retai…The newsvendor problem: Review and directions for future research (2010)The newsvendor problem: Revie…Automatic Time Series Forecasting: The forecast Package for R (2008)Automatic Time Series Forecas…Provably Near-Optimal Sampling-Based Policies for Stochastic Inventory Control Models (2007)Provably Near-Optimal Samplin…A Robust Optimization Perspective on Stochastic Programming (2007)A Robust Optimization Perspec…Another look at measures of forecast accuracy (2006)Another look at measures of f…A Robust Optimization Approach to Inventory Theory (2006)A Robust Optimization Approac…A Min-Max Solution of an Inventory Problem (2005)A Min-Max Solution of an Inve…Forecasting aggregate retail sales: (2001)Forecasting aggregate retail …The Distribution Free Newsboy Problem: Review and Extensions (1993)The Distribution Free Newsboy…Studies in Mathematical Theory of Inventory and Production (1959)Studies in Mathematical Theor…A systematic review of machine learning approaches in inventory control optimization (2025)A systematic review of machin…Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review (2024)Data Analytics in Supply Chai…IACPPO: A deep reinforcement learning-based model for warehouse inventory replenishment (2023)IACPPO: A deep reinforcement …Data-driven risk-averse newsvendor problems: developing the CVaR criteria and support vector machines (2023)Data-driven risk-averse newsv…Predictive analytics for demand forecasting: A deep learning-based decision support system (2022)Predictive analytics for dema…Catch me if you scan: Data-driven prescriptive modeling for smart store environments (2020)Catch me if you scan: Data-dr…A cross-temporal hierarchical framework and deep learning for supply chain forecasting (2020)A cross-temporal hierarchical…Inventory management and production planning and scheduling (1999)Supply Chain Coordination with Contracts (2003)Supply Chain Coordination with Revenue-Sharing Contracts: Strengths and Limitations (2005)Optimal electric vehicle production strategy under subsidy and battery recycling (2017)A data-driven newsvendor problem: From data to decision (2019)Operational Research: methods and applications (2023)Analysis of Inventory Systems. (1964)Production and inventory management (1983)Distributionally Robust Optimization and Its Tractable Approximations (2010)Distributionally Robust Stochastic Optimization with Wasserstein Distance (2022)Optimal Policies for a Multi-Echelon Inventory Problem (1960)Foundations of Inventory Management (2000)Optimal Policies for a Multi-Echelon Inventory Problem (2004)Selected topics in robust convex optimization (2007)Theory and Applications of Robust Optimization (2010)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)An Overview of Pricing Models for Revenue Management (2003)Dynamic Pricing in the Presence of Inventory Considerations: Research Overview, Current Practices, and Future Directions (2003)The Theory and Practice of Revenue Management (2004)The Operational Value of Social Media Information (2015)The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018)Smart “Predict, then Optimize” (2021)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)On Persistence in Mutual Fund Performance (1997)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Lectures on Stochastic Programming: Modeling and Theory (2009)Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems (2010)Distributionally Robust Convex Optimization (2014)How Research in Production and Operations Management May Evolve in the Era of Big Data (2017)Frameworks and Results in Distributionally Robust Optimization (2022)Measuring and avoiding the bullwhip effect: A control theoretic approach (2003)
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References

  • 2006Another look at measures of forecast accuracy5,736 cited
  • 2008Automatic Time Series Forecasting: The forecast Package for R3,538 cited
  • 2017Deep learning with long short-term memory networks for financial market predictions2,827 cited
  • 1993The Distribution Free Newsboy Problem: Review and Extensions803 cited
  • 2006A Robust Optimization Approach to Inventory Theory708 cited
  • 1959Studies in Mathematical Theory of Inventory and Production696 cited
  • 2005A Min-Max Solution of an Inventory Problem552 cited
  • 2015Analytics for an Online Retailer: Demand Forecasting and Price Optimization542 cited
  • 2018The Big Data Newsvendor: Practical Insights from Machine Learning510 cited
  • 2010The newsvendor problem: Review and directions for future research484 cited
  • 2007A Robust Optimization Perspective on Stochastic Programming362 cited
  • 2016Inventory and Production Management in Supply Chains287 cited
  • 2018Exploring the use of deep neural networks for sales forecasting in fashion retail262 cited
  • 2007Provably Near-Optimal Sampling-Based Policies for Stochastic Inventory Control Models261 cited
  • 2015The Data-Driven Newsvendor Problem: New Bounds and Insights

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260 cited
  • 2001Forecasting aggregate retail sales:258 cited
  • Cited by

    • 2022Predictive analytics for demand forecasting: A deep learning-based decision support system114 cited
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    • 2020Catch me if you scan: Data-driven prescriptive modeling for smart store environments27 cited
    • 2023IACPPO: A deep reinforcement learning-based model for warehouse inventory replenishment24 cited
    • 2024Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review18 cited
    • 2025A systematic review of machine learning approaches in inventory control optimization15 cited
    • 2023Data-driven risk-averse newsvendor problems: developing the CVaR criteria and support vector machines15 cited