DocumentCode :
2645903
Title :
Application of neural networks and simulation modeling in manufacturing system design
Author :
LeCroy, Kenneth ; Mollaghasemi, Mansooreh ; Georgiopoulos, Michael
Author_Institution :
Lucent Technol., Orlando, FL, USA
fYear :
1996
fDate :
25-27 Jun 1996
Firstpage :
322
Lastpage :
326
Abstract :
We demonstrate how neural networks can be used in conjunction with simulation modeling for system design. This approach is used to achieve the opposite of what a simulation model can achieve: given a set of desired performance measures, the neural network outputs a suitable design to meet management goals. The methodology is presented using a real world application involving the test operation of a major semiconductor manufacturing facility
Keywords :
digital simulation; manufacturing data processing; neural nets; semiconductor device manufacture; systems analysis; Test Operation; management goals; manufacturing system design; neural networks; performance measures; semiconductor manufacturing facility; simulation modeling; Computational modeling; Decision support systems; Intelligent networks; Job shop scheduling; Manufacturing systems; Neural networks; Process design; Production facilities; Semiconductor device testing; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Southcon/96. Conference Record
Conference_Location :
Orlando, FL
ISSN :
1087-8785
Print_ISBN :
0-7803-3268-7
Type :
conf
DOI :
10.1109/SOUTHC.1996.535087
Filename :
535087
Link To Document :
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