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Building Decision Support Systems That Use Operations Research Models as Database Applications

dc.contributor.authorBall, Michael O.en_US
dc.contributor.authorDatta, Anindyaen_US
dc.contributor.authorDahl, Royen_US
dc.description.abstractIn this paper we address the problem of building decision support systems that make use of multiple operations research models as database application. The motivation for developing applications in a database environment is that, by doing so, the development effort can be substantially reduced, while, at the same time, the application inherits valuable database features. the paper contains two main contributions. First, we present a set of modeling constructs that should aid developers in structuring such applications and in carrying out the development process. Included in this material is a fairly comprehensive model for handling versions. Second, we discuss certain design alternatives and evaluate performance tradeoffs associated with hem. In addition, to evaluating the differences among competing database designs, we provide evidence that properly designed database applications, show little performance degradation over file based applications.en_US
dc.format.extent1896457 bytes
dc.relation.ispartofseriesISR; TR 1992-109en_US
dc.subjectcomputational complexityen_US
dc.subjectdecision support systemsen_US
dc.subjectCommunication en_US
dc.subjectSignal Processing Systemsen_US
dc.titleBuilding Decision Support Systems That Use Operations Research Models as Database Applicationsen_US
dc.typeTechnical Reporten_US

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