• Timofey T. Ulybin, Irkutsk state transport university (Irkutsk, Russia)

The article presents a methodology for improving the lifecycle management of an enterprise's information infrastructure based on a logical and axiological approach and the theory of aggregated systems. This technique is an innovative tool that allows taking into account the complex hierarchical structure of the IIP, the nonlinear interdependencies between its components, and the multilevel categorization of equipment criticality. Unlike traditional methods using linear convolutions, such as weighted averages, the proposed approach is based on nonlinear aggregation implemented within the framework of fuzzy logic. The objective function, developed on the basis of the concepts of "functional deficit" and "component value", takes into account the probabilistic characteristics of the components and their criticality for the functioning of the system. For equipment of category K1, aggregation is applied according to the principle of necessity (using the max function), which ensures maximum system reliability. Category K3 is characterized by aggregation based on the principle of sufficiency, minimizing excess costs. The K2 category assumes mixed aggregation based on probabilistic pooling, which allows flexible adaptation to changing operating conditions. This approach makes it possible to identify critical IIP components, the failure of which can lead to a complete loss of system functionality. This ensures high interpretability of management decisions and allows decision makers to reasonably choose management strategies (operation, repair or replacement). The technique can be integrated into the decision support system (DSS) and the digital twin of the IIP, which increases its practical applicability and adaptability to dynamically changing operating conditions. To demonstrate the correctness and effectiveness of the proposed approach, examples of calculations for a mission-critical train traffic control server (category K1) and a network switch (category K2) are given. The results include a formalized IIP ontological model adapted to the requirements of GOST R 53114-2008, which confirms its compliance with regulatory requirements and a high degree of detail. The calculations performed demonstrate that the proposed approach significantly increases the validity, interpretability and security of management decisions in conditions of high uncertainty and critical dependence on the reliability of the enterprise's information infrastructure.

enterprise information infrastructure, life cycle, aggregated assessment, logical and axiological approach, ontology, expert system

2026-03-05