Scientific & Practical Journal
Editorial News
We are pleased to present to you the final issue of the journal in 2025 and inform you that LOGISTICS is opening a new page in its development by starting cooperation with the Crystal Growth Foundation, which means that the information saturation of the publication will change for the better. The first issue is dedicated to one of the innovative domestic developments, AI-Kantorovich, which the Crystal Growth Foundation created together with Hive Mind AI.
Dear readers! We are pleased to present to you the eleventh issue of the journal in 2025. There are a lot of relevant and useful materials in the issue, which, hopefully, will not be ignored.
Dear readers! In September the CeMAT RUSSIA exhibition was held, which showed everyone that innovations and robotics are increasingly penetrating the logistics industry. We can safely say that many technologies are tested here, and only then they go out into the world. However, it is not only CeMAT RUSSIA that demonstrates the prevalence of the digital agenda.
PHOTO OF THE WEEK
CITATIONS
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A digital twin of the aircraft manufacturing industry's internal production chain using plan-fact algorithms and AI/ML models
Ja.Yu. Pavlova, R.R. Gaynemova, E.V. Glushkova, K.P. Ilyina, A.I. Kaibusheva12 / 2025 | INFORMATION TECHNOLOGIES
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.
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