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Adaptation of the global experience of automation of production logistics from high-tech industries to the aircraft industry

Annotation. This article examines the model groups, functional structure, structural diagram, and information exchange of a digital twin of the intra-production supply chain in aircraft manufacturing using the example of the Kazan Aviation Plant. It also describes the specification of mathematical models for the production, assembly, warehouse, and intra-plant logistics subsystems. It describes production, logistics, warehouse, economic, and strategic metrics, data quality, and analytical maturity. The market size for expanding digital twin implementation in aircraft manufacturing and the economic impact of implementation are assessed.
Key words. Artificial intelligence, machine learning, simulation modeling, load optimization, production delay forecasting, digitalization of the aircraft industry, and reduction of downtime.