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https://doi.org/10.2139/ssrn.4629964

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inferredcites →https://doi.org/10.1002/nav.21949openalex-extracted
Data‐driven research in retail operations—A review
inferredcites →https://doi.org/10.1007/978-1-4612-4380-9_16openalex-extracted
Individual Comparisons by Ranking Methods
inferredcites →https://doi.org/10.1007/978-3-030-75729-8_7openalex-extracted
Applied Machine Learning in Operations Management
inferredcites →https://doi.org/10.1007/978-3-319-70087-8_93openalex-extracted
Assessing the Performance of Deep Learning Algorithms for Newsvendor Problem
inferredcites →https://doi.org/10.1007/bf02283607openalex-extracted
A theory of rolling horizon decision making
inferredcites →https://doi.org/10.1016/j.dss.2020.113340openalex-extracted
From predictive to prescriptive analytics: A data-driven multi-item newsvendor model
inferredcites →https://doi.org/10.1016/j.ejor.2022.03.030openalex-extracted
Dynamic optimization with side information
inferredcites →https://doi.org/10.1016/j.ejor.2022.06.011openalex-extracted
Prescriptive Analytics for a Multi-Shift Staffing Problem
inferredcites →https://doi.org/10.1016/j.ejor.2022.08.024openalex-extracted
Can accessing much data reshape the theory? Inventory theory under the challenge of data-driven systems
inferredcites →https://doi.org/10.1016/j.ijforecast.2018.06.001openalex-extracted
The M4 Competition: Results, findings, conclusion and way forward
inferredcites →https://doi.org/10.1016/j.ijforecast.2019.02.012openalex-extracted
Predicting/hypothesizing the findings of the M4 Competition
inferredcites →https://doi.org/10.1016/j.ijforecast.2020.11.009openalex-extracted
Investigating the accuracy of cross-learning time series forecasting methods
inferredcites →https://doi.org/10.1016/j.ijforecast.2021.09.014openalex-extracted
Predicting/hypothesizing the findings of the M5 competition
inferredcites →https://doi.org/10.1016/j.ijforecast.2021.10.009openalex-extracted
The M5 uncertainty competition: Results, findings and conclusions
inferredcites →https://doi.org/10.1016/j.ijpe.2019.107597openalex-extracted
Optimising Forecasting Models for Inventory Planning
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-extracted
Random Forests
inferredcites →https://doi.org/10.1023/a:1019206915174openalex-extracted
Scenarios for Multistage Stochastic Programs
inferredcites →https://doi.org/10.1057/9781137024381_1openalex-extracted
The Optimality of (S,s) Policies in the Dynamic Inventory Problem
inferredcites →https://doi.org/10.1057/palgrave.jors.2601841openalex-extracted
On the categorization of demand patterns
inferredcites →https://doi.org/10.1080/00207543.2013.775523openalex-extracted
Rolling horizon planning in supply chains: review, implications and directions for future research
inferredcites →https://doi.org/10.1080/24725854.2019.1632502openalex-extracted
Applying deep learning to the newsvendor problem
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-extracted
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1111/poms.13635openalex-extracted
Data‐Driven Newsvendor Problems Regularized by a Profit Risk Constraint
inferredcites →https://doi.org/10.1111/poms.13868openalex-extracted
Developing Operations Management Data Analytics
inferredcites →https://doi.org/10.1137/s1052623499363220openalex-extracted
The Sample Average Approximation Method for Stochastic Discrete Optimization
inferredcites →https://doi.org/10.1201/9781351113670openalex-extracted
Production and Operations Analysis
inferredcites →https://doi.org/10.1214/aoms/1177730491openalex-extracted
On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
inferredcites →https://doi.org/10.1287/mnsc.1040.0265openalex-extracted
Optimal Policies for a Multi-Echelon Inventory Problem
inferredcites →https://doi.org/10.1287/mnsc.2018.3253openalex-extracted
From Predictive to Prescriptive Analytics
inferredcites →https://doi.org/10.1287/mnsc.2020.3867openalex-extracted
Prescriptive Analytics for Flexible Capacity Management
inferredcites →https://doi.org/10.1287/mnsc.2022.4321openalex-extracted
Risk Guarantees for End-to-End Prediction and Optimization Processes
inferredcites →https://doi.org/10.1287/mnsc.2022.4564openalex-extracted
A Practical End-to-End Inventory Management Model with Deep Learning
inferredcites →https://doi.org/10.1287/mnsc.6.4.475openalex-extracted
Optimal Policies for a Multi-Echelon Inventory Problem
inferredcites →https://doi.org/10.1287/msom.2018.0725openalex-extracted
Dynamic Procurement of New Products with Covariate Information: The Residual Tree Method
inferredcites →https://doi.org/10.1287/msom.2019.0805openalex-extracted
Data Analytics in Operations Management: A Review
inferredcites →https://doi.org/10.1287/msom.4.1.25.287openalex-extracted
Forecast, Solution, and Rolling Horizons in Operations Management Problems: A Classified Bibliography
inferredcites →https://doi.org/10.1287/opre.2018.1757openalex-extracted
The Big Data Newsvendor: Practical Insights from Machine Learning
inferredcites →https://doi.org/10.1287/opre.2019.1883openalex-extracted
Confidence Intervals for Data-Driven Inventory Policies with Demand Censoring
inferredcites →https://doi.org/10.2139/ssrn.2559116openalex-extracted
The Big Data Newsvendor: Practical Insights from Machine Learning
inferredcites →https://doi.org/10.2139/ssrn.3090901openalex-extracted
inferredcites →https://doi.org/10.2139/ssrn.3387866openalex-extracted
inferredcites →https://doi.org/10.2139/ssrn.3737780openalex-extracted
inferredcites →https://doi.org/10.2139/ssrn.3888897openalex-extracted
Inventory Management with Transformer: Automated Decision-Making for Order Timing and Quantity
inferredcites →https://doi.org/10.2139/ssrn.3893102openalex-extracted
Dynamic Inventory Control with Covariates: Risk Constraints, Regularization, and Folding-horizon Plan
inferredcites →https://doi.org/10.2139/ssrn.4406486openalex-extracted
inferredcites →https://doi.org/10.2307/1907830openalex-extracted
Optimal Inventory Policy
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-extracted
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.48550/arxiv.1904.11637openalex-extracted
From Predictions to Prescriptions in Multistage Optimization Problems
inferredcites →https://doi.org/10.48550/arxiv.2303.06515openalex-extracted
Multistage Stochastic Optimization via Kernels
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