The role of reinforcement learning in business integrated manufacturing

Abstract

Reinforcement learning (RL) has received some attention in recent years from researchers, because it deals with the problem of how an autonomous manufacturing system can learn to select proper actions for achieving its goals through interacting with its environment. Although there have been several successful examples demonstrating the usefulness of RL, its application to business integrated manufacturing has not been fully explored yet. The interaction between the economic environment and the manufacturing system is a major source of knowledge about the economic environment and the manufacturing system themselves.