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Information × Registration Number 0225U003348, (0124U004145) , R & D reports Title Optimization of logistics processes in transport systems of industry and urban infrastructure. popup.stage_title Оптимізація логістичних процесів в транспортних системаах промисловості та міській інфраструктурі. Head Maslak Hanna V., Кандидат технічних наук Registration Date 20-06-2025 Organization State Higher Educational Institution "Azov State Technical University" popup.description1 Optimization of logistics processes in transport systems of industry and urban infrastructure to enhance their efficiency, reduce costs, and ensure stable operation in the face of modern economic and technological challenges. popup.description2  The object of study – the logistic processes in transport systems of industrial zones and urban infrastructure, including the transportation, handling, and routing of material flows at the junction of in-plant, mainline, and urban transport. Purpose – оptimization of logistics processes in transport systems of industry and urban infrastructure to enhance their efficiency, reduce costs, and ensure stable operation in the face of modern economic and technological challenges Research results: а logistic method for improving the efficiency of interaction between railway transport and production has been developed, allowing for the substantiation of the parameters of the functional cycle within the transport and cargo complex of a rolling mill and the modeling of a new, efficient shipment technology for finished products with improved transport service indicators; а mechanism for assessing the efficiency of the routing network in industrial areas under urban logistics conditions has been proposed, providing a theoretical basis for restricting access to certain transport corridors in large industrial cities; а mechanism for enhancing the competitiveness of railway transport has been suggested through the improvement of logistic processes, expansion of multimodal transportation involving road transport, integration of wagon and commercial operations, and the development of container and piggyback transport as tools for adapting to market conditions and ensuring sustainable development; а computer modeling approach based on Data Mining technology has been proposed for the thawing process of iron ore materials, which accounts for the influence of key factors and enables the prediction of residual mass after unloading to justify the duration of the thawing process. Product Description popup.authors Dzhenchako Vadym H. Krasulin Oleksandr S. Maslak Hanna V. Khara Mariia V. popup.nrat_date 2025-06-20 Close