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Reinforcement Learning for Optimizing Can-Order Policy with the Rolling Horizon Method

This study presents a novel approach to a mixed-integer linear programming (MILP) model for periodic inventory management that combines reinforcement learning algorithms. The rolling horizon method (RHM) is a multi-period optimization approach that is applied to handle new information in updated mar...

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Hovedforfatter: Jiseong Noh
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2023-07-01
Serier:Systems
Fag:
can-order policy
mixed-integer linear programming
reinforcement learning
rolling horizon method
inventory management
Online adgang:https://www.mdpi.com/2079-8954/11/7/350
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