Deep Reinforcement Learning for Dynamic Pricing and Ordering Policies in Perishable Inventory Management

Perishable goods have a limited shelf life, and inventory should be discarded once it exceeds its shelf life. Finding optimal inventory management policies is essential since inefficient policies can lead to increased waste and higher costs. While many previous studies assume the perishable inventor...

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Bibliographic Details
Main Authors: Yusuke Nomura, Ziang Liu, Tatsushi Nishi
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/5/2421
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