Integrating learning and decision-making in intelligent manufacturing systems

This paper presents an overview of learning and decision-making in intelligent manufacturing systems. Machine learning techniques applicable to design and manufacturing are reviewed. Issues related to the role of learning in manufacturing decision-making and two related examples are discussed. The architecture, algorithm and implementation of the first prototype of IMAFO, an intelligent supervisory system, which has learning capabilities, are explained.