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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 shortterm decisions and to adaptdoi:10.1007/s10845-011-0580-y fatcat:c26qzedcnzglzhz42fxhxwxgca