Title :
Applications of neural network in manufacturing
Author :
Rajagopalan, Ramesh ; Rajagopalan, Purnima
Author_Institution :
Mercer Univ., Macon, GA, USA
Abstract :
A neural network is a model of the brains´s cognitive process. Neural networks originated as models of how the brain works and research has its beginnings in psychology. Today neural network methods are being used to solve numerous problems associated with manufacturing operations. A review of neural network applications to problems in production and operations management is presented. Applications reviewed in the paper include character, image and pattern recognition, managerial decision making, manufacturing cell design, tool condition monitoring, real-time robot scheduling and statistical process control. Methods and structures of neural networks are explained
Keywords :
character recognition; computerised monitoring; image recognition; industrial robots; intelligent control; intelligent design assistants; machine tools; management; neural nets; pattern recognition; process control; production control; real-time systems; statistical process control; character recognition; image recognition; managerial decision making; manufacturing; manufacturing cell design; manufacturing operations; neural network applications; operations management; pattern recognition; problem solving; production management; real-time robot scheduling; statistical process control; tool condition monitoring; Biological neural networks; Brain modeling; Condition monitoring; Decision making; Manufacturing processes; Neural networks; Pattern recognition; Production; Psychology; Pulp manufacturing;
Conference_Titel :
System Sciences, 1996., Proceedings of the Twenty-Ninth Hawaii International Conference on ,
Conference_Location :
Wailea, HI
Print_ISBN :
0-8186-7324-9
DOI :
10.1109/HICSS.1996.495430