Date of Award
Master of Science
Industrial and Entrepreneurial Engineering and Engineering Management
Industrial and Manufacturing Engineering
Dr. Azim Houshyar
Richard E. Munsterman
Masters Thesis-Open Access
Although there have been many improvements in simulation technology over the past few years, it still suffers from many limitations. Simulation methods are usually time consuming and hence not suitable for the interactive decision making processes.
In this project, applications of Artificial Neural Networks (ANNs) to simulate manufacturing systems have been studied. The backpropagation Multiple Layer Perceptrons (MLPs) have been applied to simulate manufacturing systems. Some guidelines for developing appropriate ANNs have been presented. The results of ANN approach have been compared to those of conventional simulation methods.
Jula, Payman, "Applications of Artificial Neural Networks in Interactive Simulation" (1996). Master's Theses. 5046.