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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| Formato: | Artículo |
| Lenguaje: | English |
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Institute for Operations Research and the Management Sciences (INFORMS)
2021
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| Acceso en línea: | https://hdl.handle.net/1721.1/129792 |