RSLES: an architectural implementation of a decision support system for optimal recruit station location

Abstract

This thesis describes a component-based methodology for developing a decision support system (DSS) for optimal location of military recruiting stations in regional recruiting markets. The DSS is designed to ensure that stations are selected that minimize cost for a given level of production. The interface allows users to perform "what if' analysis to determine if there are better locations to meet desired objectives. The Recruit Station Location Evaluation System (RSLES) integrates a user interface, a database, a GAMS optimizer model and a geographic information system (GIS) mapping engine to provide a flexible environment that leverages operational recruiting, market analysis, and demographic information for decision-making