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.

Serova E., Lukinskiy V.

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.

Keywords: нейронные сети, neural networks, fuzzy logic, нечеткая логика, multi-agent systems, интеллектуальный анализ данных, soft computing, мягкие вычисления, intelligent data analysis, многоагентные системы, multifunctional logistics and supply chain management, многофункциональная логистика и управление цепями поставок