Iterative modeling. Logical ordering of the input parameters of decision support systems

The relevance of the study is based on the need for finding a consensus between a domestic producer of science-intensive products and a foreign customer to achieve satisfaction with technical characteristics, economic indicators, cost of integrated logistics support for technical operation for the export situation. The subject of the study is the digital twin of the decision support system. This article solves the problem of logical justification of input variable parameters. The objects of the research are mathematical tools, iterative algorithm, logical ordering of input parameters. The empirical argumentation of the logical ordering of the input variable and immutable parameters of the system justifies the number of carried out iterations. The mesoeconomical theory of the interaction of economic systems of the middle hierarchical level, namely, the radar industry and the international export market, is used. The publication presents the cost management factors of integrated logistics support. The results of iterations are described. It is determined that in a multi-factor management model, the cost of integrated logistics support for technical operation has a greater weight in terms of a positive export outcome. The final iteration is achievement of supply and demand balance in the international market of science-intensive products export.