Designing of an intelligent self-adaptive model for supply chain ordering management system

One of the challenging issues in supply chain management is the coordination of ordering processes, especially in dynamic situations. In recent years, reinforcement learning algorithms are considered to be efficient techniques for solving such problems. In this paper, an agent-based simulation techn...

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Veröffentlicht in:	Engineering applications of artificial intelligence 2015-01, Vol.37, p.207-220
Hauptverfasser:	Mortazavi, Ahmad, Arshadi Khamseh, Alireza, Azimi, Parham
Format:	Artikel
Sprache:	eng
Schlagworte:	Agent based simulation Algorithms Computer simulation Learning Markov decision process Order disorder Ordering policy Reinforcement Reinforcement learning Sensitivity analysis Simulation-based optimization Statistical methods Supply chain Supply chains
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