Hierarchical Reinforcement Learning for Crude Oil Supply Chain Scheduling

Hierarchical Reinforcement Learning for Crude Oil Supply Chain Scheduling

Crude oil resource scheduling is one of the critical issues upstream in the crude oil industry chain. It aims to reduce transportation and inventory costs and avoid alerts of inventory limit violations by formulating reasonable crude oil transportation and inventory strategies. Two main difficulties...

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Bibliographic Details
Main Authors: Nan Ma, Ziyi Wang, Zeyu Ba, Xinran Li, Ning Yang, Xinyi Yang, Haifeng Zhang
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Algorithms
Subjects:
hierarchical reinforcement learning
crude oil supply chain scheduling
operations research
linear programming
Online Access:https://www.mdpi.com/1999-4893/16/7/354

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https://www.mdpi.com/1999-4893/16/7/354

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