Decision variables analysis method in structured modeling

Model construction is the most important part of model management systems, and the most general modeling method is structured modeling. But structured modeling is inflexible when the conditions change and the environments vary greatly. In this paper, a method called DVA(decision variables analysis) is put forward to deal with the variant linear programming modeling and the changing environment. In linear programming, the most complicated relations are among decision variables. The method classifies the decision variables in different levels by different index sets, while in traditional structured modeling decision variables are dealt with the same as other elements. Also the method classifies the model into different parts, and the change can only affected parts of the whole model. So the method is according to the complex relations of different levels of decision variables, and can smoothly solve the modeling in great changed situations.