Title
Integration of Artificial Neural Networks and Simulation Modeling in a Decision Support System
Abstract
A simulation based decision support system is developed for AT&T Microelectronics in Orlando. This system uses simulation modeling to capture the complex nature of semiconductor test operations. Simulation, however, is not a tool for optimization by itself. Numerous executions of the simulation model must generally be performed to narrow in on a set of proper decision parameters. As a means of alleviating this shortcoming, artificial neural networks are used in conjunction with simulation modeling to aid management in the decision making process. The integration of simulation and neural networks in a comprehensive decision support system, in effect, learns the reverse of the simulation process. That is, given a set of goals defined for performance measures, the decision support system suggests proper values for decision parameters to achieve those goals.
Graduation Date
1994
Semester
Spring
Advisor
Mollaghasemi, Mansooreh
Degree
Master of Science (M.S.)
College
College of Engineering
Department
Industrial Engineering and Mangement Systems
Degree Program
Industrial Engineering
Format
Language
English
Rights
Written permission granted by copyright holder to the University of Central Florida Libraries to digitize and distribute for nonprofit, educational purposes.
Length of Campus-only Access
None
Access Status
Masters Thesis (Open Access)
Identifier
DP0011935
STARS Citation
LeCroy, Kenney, "Integration of Artificial Neural Networks and Simulation Modeling in a Decision Support System" (1994). Retrospective Theses and Dissertations. 3476.
https://stars.library.ucf.edu/rtd/3476
Contributor (Linked data)
Mollaghasemi, Mansooreh [VIAF]
University of Central Florida. College of Engineering [VIAF]