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The Supply Chain Network on Cloud Manufacturing Environment Based on COIN Model with Q-Learning Algorithm

机译:基于Q学习算法的基于COIN模型的云制造环境供应链网络。

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Cloud manufacturing is applied to a lot of fields to innovate more advanced development structure for industrial 4.0 while the supply chain network in cloud manufacturing context displays more transparent information communication with each agent. At the same time, each participant in this kind of environment can make decisions refer more information and adapt more advanced algorithm to raise the profit and reduce the cost. In this paper, we use COIN (collective intelligence) model to simulate a dynamic market with basic four roles and access the Q-learning algorithm to manage the supply chain. We conclude that the Q-learning used in retailers will lead the trendy of regular performance to a stable state although the time it cost to reach the optimal state is not always short.
机译:云制造被应用于许多领域,以创新工业4.0的更高级的开发结构,而云制造环境中的供应链网络则显示了与每个代理商的更透明的信息通信。同时,这种环境中的每个参与者都可以使决策参考更多的信息,并采用更先进的算法来提高利润和降低成本。在本文中,我们使用COIN(集体智能)模型来模拟具有基本四个角色的动态市场,并访问Q学习算法来管理供应链。我们得出的结论是,尽管达到最佳状态所需的时间并不总是很短,但零售商使用的Q学习将使常规绩效趋势趋于稳定。

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