
Dear readers! In September the CeMAT RUSSIA exhibition was held, which showed everyone that innovations and robotics are increasingly penetrating the logistics industry. We can safely say that many technologies are tested here, and only then they go out into the world. However, it is not only CeMAT RUSSIA that demonstrates the prevalence of the digital agenda.
Dear readers! This is the ninth issue of the journal, which turned out to be very rich and diverse. Traditionally, the issue is opened by an analyst. The material by Alina Nasyrova from the Market Guide Agency, dedicated to investments in warehouse complexes in Russia, recalls the importance of developing logistics infrastructure for the integrated development of regions.
Dear readers! We present to your attention the eighth issue of the magazine and its materials.
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.
Key words. Transport and logistics systems, artificial intelligence, logistics and supply chain management, business process optimization, digital transformation of the economy.
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.
Annotation. The article provides a brief description of the current state of the automotive market in the Russian Federation and analyzes the degree of study of the topic of forecasting changes in the automotive market and the possibility of further study of the topic in domestic science, taking into account the current economic situation in the country and the world.
Key words. Forecasting, automotive market, sanctions, regression analysis, machine learning
Annotation. The article defines the research objectives aimed at developing ways to increase the capacity of a high-load route. In this regard, an analysis of the throughput capacity was carried out using the example of the high-load railway line Kotelnikovo – Novorossiysk of the North Caucasus Railway, through which the largest volume of demanded export cargo is supplied to the ports of the basin.
Key words. Port, cargo flow, problem, supply, economic effect.
Annotation. The article analyzes the cargo transportation segment in space logistics based on a comprehensive analysis of the current state and trends of the cargo transportation market in space. The segmentation and structure of the market are investigated, including country comparisons, the main players, and types of cargo flows in kind. Special attention is paid to the costs of logistics operations in space, as well as the prospects for their optimization.
Key words. Space logistics, cargo transportation in space, cargo transportation by spacecraft, space cargo transportation market, launch vehicles.
Annotation. The article discusses vehicles that use the screen effect to move at low altitude above the surface of water or land, as a promising element of the logistics infrastructure. The analysis of the technical characteristics of modern ekranoplane models, their advantages and limitations in comparison with traditional modes of transport is carried out. Special attention is paid to the integration of ekranoplanes into existing logistics chains, including infrastructural, legal and environmental aspects.
Key words. Ekranoplanes, transport and logistics systems, innovative vehicles, cargo transportation, logistics infrastructure.
Annotation. This article examines the existing transportation system, which faces a number of challenges related to infrastructure congestion and delays in cargo delivery speeds and deadlines. The main causes of delayed cargo delivery are analyzed, as they can lead to financial losses, legal consequences, damage to business reputation, and other negative consequences. The prospects for the use of vacuum magnetic levitation transport and its interaction with other modes of transport are discussed.
Key words. Transport and logistics infrastructure, cargo delivery times, vacuum magnetic levitation transport, interaction with other modes of transport.
Annotation. The article addresses the issue of integration key risk indicators into the logistics risk management process. A methodological consensus among researchers regarding the placement of indicators within the process is identified. A key divergence in approaches to selecting priority objects for indicator development are established.
Key words. Logistics risk, logistics risk management process, key risk indicator, integration of risk indicators, development of risk indicators, risk selection criteria.
Annotation. The article considers the features of logistic thinking from the standpoint of everyday knowledge in the implementation of innovations in the activities of industrial enterprises. The features of traditional and logistic approaches in enterprise management are considered.
Key words. Logistics, logistics thinking, logistics management, logistics functions, the principle of economic compromises, the concept of logistics.