The Cognitive Engineering in Manufacturing Process through Reinforcement Learning

Abstract

The reinforcement learning (RL), through its role, in business integrated manufacturing, means the manufacturing system capacity to ’learn’ in permanent interaction with the economic environment, to inform and update the information about the auctions and to anticipate, before deciding to conclude a contract, the level of costs, profit and what is the best way to act. In other words this means that the manufacturing system ’learns’ what actions to take in certain situations, based on the data supplied by the economic environment, so that such actions increase the possibilities of achieving the aim proposed. The business integrated manufacturing should ’exploit’ what it already knows to obtain profit, but at the same time it must ’explore’ the possibility of finding other suitable actions for the future. The manufacturing system should try a variety of actions and then choose those that seem best. This study shows the potential of RL for application to the business integrated manufacturing.