ABSTRACT
In recent years, artificial neural networks have been applied to solve a variety of problems in numerous areas of manufacturing at both system and process levels. The manufacturing applications of neural networks comprise the design of manufacturing systems (including part-family and machine-cell formation for cellular manufacturing systems); modeling, planning, and scheduling of manufacturing processes; monitoring and control of manufacturing processes; quality control, quality assurance, and fault diagnosis. This paper presents a survey of existing neural network applications to intelligent manufacturing. Covering the whole spectrum of neural network applications to manufacturing, this chapter provides a comprehensive review of the state of the art in recent literature.
