Optimizing inventory control through a data-driven and model-independent framework

Optimizing inventory control through a data-driven and model-independent framework

Machine learning has shown great potential in various domains, but its appearance in inventory control optimization settings remains rather limited. We propose a novel inventory cost minimization framework that exploits advanced decision-tree based models to approximate inventory performance at an i...

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Bibliographic Details
Main Authors: Evangelos Theodorou, Evangelos Spiliotis, Vassilios Assimakopoulos
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:EURO Journal on Transportation and Logistics
Subjects:
Inventory control management
Machine learning
Inventory cost
Demand patterns
Large scale optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2192437622000280

Internet

http://www.sciencedirect.com/science/article/pii/S2192437622000280

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