Can Deep Reinforcement Learning Improve Inventory Management? Performance on Lost Sales, Dual-Sourcing, and Multi-Echelon Problems

Problem definition : Is deep reinforcement learning (DRL) effective at solving inventory problems? Academic/practical relevance : Given that DRL has successfully been applied in computer games and robotics, supply chain researchers and companies are interested in its potential in inventory managemen...

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Veröffentlicht in:	Manufacturing & service operations management 2022-05, Vol.24 (3), p.1349-1368
1. Verfasser:	Gijsbrechts, Joren
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Deep learning Inventory Inventory management inventory theory and control logistics and transportation OM-information technology interface Robotics Supply chain management
Online-Zugang:	Volltext
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