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Методы и инструменты интеллектуального анализа данных в цифровой логистике и управлении цепями поставок Methods and Tools of Intelligent Data Analysis for Digital Logistics and Supply Chain Management
Логистика и управление цепями поставок. 2018. № 4(87). С. 73–80.
Success of any logistics enterprise in the context of digital economy progress directly depends on regular and effective innovations to the area of improving analytical applications and information systems in such actively developing fields of knowledge as strategic management, distribution networks development, and supply chain management. In an effort to ensure a sustainable economic circumstance under conditions of strong competition, the most perspective companies are increasingly focusing on the development and introduction of modern methods and tools for intelligent data analysis. The article focuses on the consideration of issues related to the use of modern simulation approaches and such components of the soft computing concept as neural networks, fuzzy logic and evolutionary computations in solving the problems of multifunctional logistics and supply chain management.
Research target:
Economics and Management
Language:
Russian
Keywords: нейронные сетиneural networksfuzzy logicнечеткая логикаmulti-agent systemsинтеллектуальный анализ данныхsoft computingмягкие вычисленияintelligent data analysisмногоагентные системыmultifunctional logistics and supply chain managementмногофункциональная логистика и управление цепями поставок
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Kilinc-Ata N., Warong M. M., SN Business & Economics 2026 Vol. 6 Article 326(2026)
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Warong M. M., International Journal of Diplomacy and Economy 2026
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The US presidential election is a lengthy and complex process, during which candidates present their views and programs for reforming the country's politics and economy, while mass media broadcast these positions to a wide audience. In the most recent election, the topic of cryptocurrencies was used in the campaign for the electorate for the first ...
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We examine board of directors’ gender diversity and corporate social responsibility (CSR) disclosure of Russian firms, and test for their effects on the market valuation of these firms. The Russian context is unique because gender disparity of boards and top management remains high in Russia due to historical legacy, absence of specific diversity-promoting regulations and ...
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Starodubov K., Максимова Е. А., Утешева Г. Ш. et al., Научно-аналитический журнал "Вестник Санкт-Петербургского университета Государственной противопожарной службы МЧС России" 2026 № 2 С. 92–103
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Gurkov I. B., Kossov V. V., Filinov N. et al., / NRU Higher School of Economics. Series MAN "Management". 2026. No. N/A.
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Chertopolokhov V., Mukhamedov A., Bugriy G. et al., IEEE Access 2026 Vol. 14 P. 14369–14392
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