Neuroevolution reinforcement learning for multi-echelon inventory optimization with delivery options and uncertain discount

The advanced information technology has enabled supply chain to make centralized optimal decision, allowing to make a global optimal solution. However, dealing with uncertainty is important in inventory management. Besides demand and supply uncertainties, supplier discounts also often arise unexpect...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 134; S. 108670
Hauptverfasser:	Rizqi, Zakka Ugih, Chou, Shuo-Yan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.08.2024
Schlagworte:	Multi-echelon inventory Optimization Reinforcement learning Simulation Supply chain Supply chain Simulation Multi-echelon inventory Optimization Reinforcement learning
ISSN:	0952-1976, 1873-6769
Online-Zugang:	Volltext
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