Data-Driven Approximation Schemes for Joint Pricing and Inventory Control Models

Data-Driven Approximation Schemes for Joint Pricing and Inventory Control Models

<jats:p> We study the classic multiperiod joint pricing and inventory control problem in a data-driven setting. In this problem, a retailer makes periodic decisions on the prices and inventory levels of a product that she wishes to sell. The retailer’s objective is to maximize the expected pro...

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Bibliographic Details
Main Authors: Qin, Hanzhang, Simchi-Levi, David, Wang, Li
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) 2023
Online Access:https://hdl.handle.net/1721.1/148650

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