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  • Оценка эффективности снабжения в условиях внутрикорпоративного аутсорсинга закупочной функции. Performance measurement in purchasing in the conditions of intra-outsourcing of purchasing function.
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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
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May 25, 2026
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Оценка эффективности снабжения в условиях внутрикорпоративного аутсорсинга закупочной функции. Performance measurement in purchasing in the conditions of intra-outsourcing of purchasing function.

С. 22–25.
Belov L. B.

The article deals with the interaction of the subjects of the corporate procurement system that were formed as a result of intra-outsourcing, provides a method for analyzing the dynamics of corporate consumers’ procurement costs from period to period both by individual expenditure indicators and by a combined indicator of total cost of procurement of strategic materials, containment and reduction of which leads to a significant contribution in costs reduction of the finished product.

Language: Russian
Keywords: аутсорсингoutsourcingprocurementcostsзатратыснабжениеprocurement efficiencyэффективность закупокstrategic business unitsprocurement companyбизнес-единицазакупочное предприятие

In book

Логистика: современные тенденции развития. Материалы XV Международной научно-практической конференции 7, 8 апреля 2016
СПб.: ГУМРФ имени адмирала С.О. Макарова, 2016.
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