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Operations Research, Systems Engineering and Industrial Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Industrial Engineering

Western Michigan University

1996

Articles 1 - 2 of 2

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Synergistic Decision-Making Systems: Using Models Of Decision-Making Behaviors And Resources To Design Better Decision-Making System, Ronald R. Carter Dec 1996

Synergistic Decision-Making Systems: Using Models Of Decision-Making Behaviors And Resources To Design Better Decision-Making System, Ronald R. Carter

Masters Theses

Despite advances in decision-making systems, many practical issues remain unaddressed and much of the computer's potential for supporting decisions is unrealized. The existing systems are often limited to specific decision-making activities or domains, and they force the decision-maker to adopt a closed and inflexible way of doing things. What is needed is a new approach to building decision-making systems, one that is not focused on how decisions should be made, but on the behaviors and resources involved in decision-making and how they affect the results. This paper explores such an approach. It examines how models of decision-making behaviors and resources …


Applications Of Artificial Neural Networks In Interactive Simulation, Payman Jula Aug 1996

Applications Of Artificial Neural Networks In Interactive Simulation, Payman Jula

Masters Theses

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.