Confidence Intervals for Data-Driven Inventory Policies with Demand Censoring (Q5131460)

scientific article; zbMATH DE number 7271244

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English	Confidence Intervals for Data-Driven Inventory Policies with Demand Censoring	scientific article; zbMATH DE number 7271244

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scholarly article

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title

Confidence Intervals for Data-Driven Inventory Policies with Demand Censoring (English)

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8 November 2020

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full work available at URL

https://lbsresearch.london.edu/id/eprint/1122/1/Ban_ConfidenceIntervals_final.pdf

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zbMATH Keywords

inventory management

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nonparametric estimation

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demand censoring

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confidence intervals

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MaRDI profile type

MaRDI publication profile

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cites work

Estimating negative binomial demand for retail inventory management with unobservable lost sales

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A Central Limit Theorem for Temporally Nonhomogenous Markov Chains with Applications to Dynamic Programming

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Bayes Solution to Dynamic Inventory Models Under Unknown Demand Distribution

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The Big Data Newsvendor: Practical Insights from Machine Learning

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A Simple Heuristic for Computing Nonstationary (s, S) Policies

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Retail supply chain management. Quantitative models and empirical studies

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Optimal Merchandise Testing with Limited Inventory

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Sales Data and the Estimation of Demand

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An Efficient Algorithm for Computing Optimal (s, S) Policies

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An Adaptive, Distribution-Free Algorithm for the Newsvendor Problem with Censored Demands, with Applications to Inventory and Distribution

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Inventory and sales effort management under unobservable lost sales

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A Nonparametric Asymptotic Analysis of Inventory Planning with Censored Demand

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Adaptive Data-Driven Inventory Control with Censored Demand Based on Kaplan-Meier Estimator

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Demand Estimation and Ordering Under Censoring: Stock-Out Timing Is (Almost) All You Need

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Using Stochastic Approximation Methods to Compute Optimal Base-Stock Levels in Inventory Control Problems

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Approximation Algorithms for the Stochastic Lot-Sizing Problem with Order Lead Times

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The Data-Driven Newsvendor Problem: New Bounds and Insights

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Provably Near-Optimal Sampling-Based Policies for Stochastic Inventory Control Models

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Myopic Policies for Some Inventory Models with Uncertain Demand Distributions

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Demand estimation in lost sales inventory systems

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On the Optimality of Generalized (s, S) Policies

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Learning Algorithms for Separable Approximations of Discrete Stochastic Optimization Problems

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Bayes Solutions of the Statistical Inventory Problem

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Q5602035

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Optimality of (s, S) Policies in Inventory Models with Markovian Demand

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Lectures on Stochastic Programming

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Technical Note—Nonparametric Data-Driven Algorithms for Multiproduct Inventory Systems with Censored Demand

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Q4404195

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Asymptotic Statistics

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Estimating Primary Demand for Substitutable Products from Sales Transaction Data

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Predicting Demand from Sales Data in the Presence of Stockouts

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Technical Note—Perishable Inventory Systems: Convexity Results for Base-Stock Policies and Learning Algorithms Under Censored Demand

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Finding Optimal (s, S) Policies Is About As Simple As Evaluating a Single Policy

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Q5358751

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Identifiers

zbMATH Open document ID

1446.90040

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DOI

10.1287/opre.2019.1883

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Mathematics Subject Classification ID

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Sitelinks

Mathematics(1 entry)

mardi Publication:5131460