Abstract: All over the world, companies are faced with increasingly accelerated and unpredictably dynamic changes. This is influenced by the scientific, technical progress and the dynamics of customers' demands. Changes lead to aggressive competition on a global scale, which calls for the establishment of new balances between economy, technology and society.
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.
The reinforcement learning, 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.

Brief Biography of the Speaker:
Luiza Daschievici got a Master's degree in Mechanical Engineering in 1994.
In 2000 Luiza Daschievici got a PhD in Mechanical Engineering ("Dunarea de Jos" University of Galati).
Since 1994, she has been an assistant, then lecturer and associate professor at "Dunarea de Jos" University of Galati.
Her research fields are the following: technology of the manufacturing process; cutting process modeling; tribology of parts machines; techniques of complex modelling of the manufacturing systems; the reliability of the mechanics systems.
Dr. Daschievici Luiza has participated in many research projects organized by Romanian Ministry of Education and Science.
She published, as author or co-author, over 80 articles in journals and proceedings of the international conference (Hungary, Italy, Hong Kong, Spain, Portugal, Poland, South Africa, Ukraine, Bulgaria, Moldavia, USA). Daschievici Luiza wrote 5 books in her research field.
She is a member of the following professional and scientific associations: IFAC – International Federation of Automatic Control, SAAM - South African for Theoretical and Applied Mechanics, ARoTMM - Romanian Association for Theory of Machines and Mechanisms, ACM-V - Multidisciplinary Research Association of the West Zone.
Dr. Daschievici Luiza is an expert of Romanian National University Research Council – CNCSIS.