Abstract
The article reflects the approach to the design of modern organizational and technological systems in industrial production on the principles of general systems theory and systems analysis, structural modeling of innovation projects in high-tech production. We try to solve the problem in conditions of completeness and inconsistency of information. The formalization of decision-making methods for optimizing the construction of organizational and technological systems, which are implemented using expert systems, is considered. The design of such systems is presented as a process of making managerial decisions that are aimed at obtaining a satisfactory technical task with a certain degree of detail of the project in industrial production. Transforming the original description into the final one creates the decomposition of the original description into a set of intermediate descriptions for making intermediate design decisions. Decision-making in most cases is to generate possible alternatives to decisions, evaluate them and choose the best alternative. In such cases, the subjective assessment of a specialist is necessary to overcome the uncertainty. Such a subjective assessment is today the only possible basis for combining disparate parameters of the problem, which is solved in hightech production through a single model that allows you to evaluate solutions. Therefore, the need to use formalized decision-making methods is obvious. Expert systems that use heuristic knowledge are used in cases where it is impossible to formulate a solution to the problem in traditional mathematical terms.
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