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Learning Newsvendor Problems With Intertemporal Dependence and Moderate Non-stationarities · Study

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ArticleLearning Newsvendor Problems With Intertemporal Dependence and Moderate Non-stationarities

Meng Qi2020

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Learning Newsvendor Problems With Intertemporal Dependence and Moderate Non-stationarities

Meng Qi · Zuo‐Jun Max Shen · Zeyu Zheng

9 citations·0/0 files stored·Production and Operations Management

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Supply Chain and Inventory Management Forecasting Techniques and Applications Advanced Bandit Algorithms Research

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References

1992Testing the null hypothesis of stationarity against the alternative of a unit root 2002Introduction to Time Series and Forecasting 2021Smart “Predict, then Optimize”2019From Predictive to Prescriptive Analytics 2018The Big Data Newsvendor: Practical Insights from Machine Learning 2007Provably Near-Optimal Sampling-Based Policies for Stochastic Inventory Control Models 2015The Data-Driven Newsvendor Problem: New Bounds and Insights 2020A Practical End-to-End Inventory Management Model with Deep Learning

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Year2020

Typearticle

Published2020-01-01

VenueProduction and Operations Management

ISSN-L1059-1478

Languageen

Citations9

Files0 public / 0

ShelfSupply Chain and Inventory Management

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doi10.1177/10591478241242122

openalex_workW4393030770

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