The supply chain network on cloud manufacturing environment based on COIN model with Q-Learning algorithm

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.