Dynamic scheduling for multi-site companies: a decisional approach based on reinforcement multi-agent learning

@article{Aissani2012DynamicSF,
  title={Dynamic scheduling for multi-site companies: a decisional approach based on reinforcement multi-agent learning},
  author={Nassima Aissani and Abdelghani Bekrar and D. Trentesaux and Bouziane Beldjilali},
  journal={Journal of Intelligent Manufacturing},
  year={2012},
  volume={23},
  pages={2513-2529}
}
In recent years, most companies have resorted to multi-site or supply-chain organization in order to improve their competitiveness and adapt to existing real conditions. In this article, a model for adaptive scheduling in multi-site companies is proposed. To do this, a multi-agent approach is adopted in which intelligent agents have reactive learning capabilities based on reinforcement learning. This reactive learning technique allows the agents to make accurate short-term decisions and to… 
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