A neuro-computing group decision support system for identifying facility location

In this research, a neuro-computing group decision support system is developed to support a small group of decision-makers in the selection of the most appropriate location for manufacturing facilities. A modified Analytic Hierarchy Process (AHP) is used to assess the users´ weighting to the location factors. Based on users´ preferences for the various location factors, the GDSS uses an Artificial Neural Network (ANN) to identify a small subset of good candidate locations from the location database. Then, the selected locations are further evaluated via computer-mediated group discussion. Based on the experiment, it was proved that the system is capable of classifying the top few locations from a large database and its interactive communication feature performs the satisfaction for the final decision