Abstract
Independence of applications from logical and physical data structures is one of the cornerstones of modern database systems. Similar concepts may be applied to model management in a decision support system (DSS) to facilitate model portability, sharing, and multi-purpose application. In this paper we define the concepts of model/data and model/ solver independence, present an extended architecture for DSS, and show its implementation. The architecture supports separate solver, model, and data bases and uses mappings to integrate them. Computationally-equivalent solvers support portability, while non-computationally-equivalent solvers allow a model to be used without modification for different purposes (what if, goal seeking, optimization). The implementation integrates an SQL database system with a mathematical modeling language.
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