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Heading:INFORMATION TECHNOLOGIES

About the application of machine learning methods in supply chain management under uncertainty

Annotation. The article systematizes scientific approaches to the concept of «market uncertainty», presents the principles of functioning and limitations of traditional forecasting methods. The article defines the tasks and classifies machine learning methods, discusses the stages of integrating ML solutions into logistics systems, and substantiates the importance of predictive analytics using artificial intelligence.
Key words. Market uncertainty, supply chain uncertainty factors, traditional forecasting methods, demand forecasting accuracy, machine learning, and artificial intelligence.

Project management of the implementation of artificial intelligence in supply chains

Annotation. Considered the project approach when introducing artificial intelligence (AI) technology into the current activity of the focus company of the supply chain, consisting of five stages. The priorities of using the SCOR-model and integrated supply chain planning in the implementation of the project approach are outlined. The role of AI in improving the visibility of logistics processes based on the compilation of supply chain maps and the matrix of artificial intelligence in supply chain management (SCM) is studied.

To robotize or not: FMR robots and their work in warehouses

A digital twin of the aircraft manufacturing industry's internal production chain using plan-fact algorithms and AI/ML models

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.

Development and implementation features of the concept and architecture of a digital supply chain management platform for cooperation in the aircraft industry

Annotation. The article presents the architecture and main interface of the digital platform for production and logistics processes of the aircraft industry cooperation, calculates the implementation cycle with key transition metrics, presents a four-phase roadmap for the implementation of the digital platform in the UAC, describes the risks and long-term social effects of the implementation.
Key words. Digital ecosystem, digitalization in the aircraft industry, UAC, manufacturing cooperation, AI/BI modules.

Machine learning technologies as assistants for modern logistic chains

Annotation. The article analyzes cases of successful implementation of machine learning technologies in the logistics processes of Russian and foreign companies. It provides statistics on the improvement of performance indicators, allowing for conclusions about the profitability of using machine learning in the organization's processes. The article also discusses the barriers that limit the widespread use of information technologies.
Key words. Machine learning, logistics, artificial intelligence, predictive analytics.

Analysis of the effects of introducing artificial intelligence into business processes of transport and logistics systems

Annotation. The article examines the effects of the use of artificial intelligence technologies. The main directions of its integration, such as logistics planning and route automation, are considered. Special attention is paid to the analysis of economic and technological advantages, as well as potential challenges associated with implementation, including the need for digital transformation and staff adaptation. Based on real-world cases, the practical value of artificial intelligence for logistics companies is demonstrated.

Companies choose robotics

Analysis of the importance of information sources on automation and digitalization of logistics

Annotation. The article is devoted to the consideration of the importance of information sources in the logistics, their classification and characteristics are given, the main types and their features are described, a survey was conducted among several categories of the population to analyze their prevalence.
Key words. Information, information sources, automation of logistics processes, logistics, digitalization.

Building the architecture of a logistics system for monitoring information on the quality of building materials in supply chains

Annotation. The architecture of the logistics system for monitoring information on the quality of building materials in supply chains is presented, including the control and controlled subsystems, the quality passport of the construction object, and information users. The information platform of the logistics system is based on blockchain technology with smart contract tools.
Key words. Architecture of the logistic system, smart contract, blockchain, quality passport.