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Data driven model generation
[edit]Most modelling languages exploit the similarities between structured models and relational databases [] by providing a database access layer, which enables the modelling system to directly access data from external data sources (e.g. these[1]table handlers for AMPL).
With the refinement of analytic technologies applied to business processes, optimisation models are becoming an integral part of decision support systems; optimisation models can be structured and layered to represent and support complex business processes. In such applications, the multi-dimensional data structure typical of OLAP systems can be directly mapped to the optimisation models and typical MDDB operations can be translated into aggregation and disaggregation operations on the underlying model Koutsoukis, N,; Mitra, G,; Lucas, C, (1999), "Adapting on-line analytical processing for decision modelling: the interaction of information and decision technologies", Decision support systems, 26 (1): 1–30 {{citation}}: Invalid |display-authors=3 (help)CS1 maint: extra punctuation (link) CS1 maint: multiple names: authors list (link)