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