  This paper introduced a reinforcement learning based decision support system
in textile manufacturing process. A solution optimization problem of color
fading ozonation is discussed and set up as a Markov Decision Process (MDP) in
terms of tuple {S, A, P, R}. Q-learning is used to train an agent in the
interaction with the setup environment by accumulating the reward R. According
to the application result, it is found that the proposed MDP model has well
expressed the optimization problem of textile manufacturing process discussed
in this paper, therefore the use of reinforcement learning to support decision
making in this sector is conducted and proven that is applicable with promising
prospects.
