In the framework of this work, an assessment method is considered and an application is proposed that implements the ability to calculate information entropy for large production systems. The importance of informational entropy for large production systems and their components allows a group of decision-makers to assess the prospect of generating managerial decisions from the perspective of completeness of knowledge about the state of the system based on available factual data.

The paper proposes a functional-structural representation of a decision support system for large production systems that implements the ability to process semistructured factual information of related operational content through a single access interface. The application of the latter provides quick access to all factual information for a group of decision-makers in the synthesis of control actions on a large production system or its subsystem.

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