Sampling-Based Approximation Schemes for Capacitated Stochastic Inventory Control Models

Sampling-Based Approximation Schemes for Capacitated Stochastic Inventory Control Models

We study the classical multi-period capacitated stochastic inventory control problems in a data-driven setting. Instead of assuming full knowledge of the demand distributions, we assume that the demand distributions can only be accessed through drawing random samples. Such data-driven models are ubi...

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Bibliographic Details
Main Authors: Cheung, Wang Chi, Simchi-Levi, David
Other Authors: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Format: Article
Language:English
Published: Institute for Operations Research and the Management Sciences (INFORMS) 2021
Online Access:https://hdl.handle.net/1721.1/129792

Internet

https://hdl.handle.net/1721.1/129792

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