Application of neural networks and simulation modeling in manufacturing system design

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.