1. Application of neural networks and simulation modeling in manufacturing system design
- Author
-
Michael Georgiopoulos, Mansooreh Mollaghasemi, and K. LeCroy
- Subjects
Set (abstract data type) ,Engineering ,Systems analysis ,Artificial neural network ,Computer-integrated manufacturing ,business.industry ,Semiconductor device fabrication ,Process development execution system ,Simulation modeling ,Systems engineering ,Systems design ,Control engineering ,business - 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.
- Published
- 2002
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