This article examines the optimization of business processes in a distribution network for the delivery of finished products from suppliers in an environment of risk and uncertainty, which significantly impacts the quality of logistics services. It also examines the classification of logistics risks, along with methods for their analysis and assessment for mitigation. The article highlights the key challenges facing trading companies in the finished product distribution network, including failure to fulfill contractual obligations, product defects, and insufficient information technology between counterparties, which leads to increased logistics costs and a decrease in the quality of logistics services. To address this issue, risk management methods are considered, including cargo insurance, the implementation of electronic document management, the use of transportation security technologies, and improved employee competence. The proposed modern technologies will minimize risks, enhance competitiveness and customer focus, and optimize transportation and logistics processes in the distribution network of trading companies.

In this paper, a discrete-event model of the operation of passenger transport infrastructure is considered using the example of a Moscow metro station. This model allows you to study in detail the processes and behavior of the modeling object within the selected metro station. The developed model consists of functional blocks of a process diagram, controls, infographics, as well as various other elements that allow you to accurately recreate the selected object. A number of experiments were conducted with the model in order to identify indicators that need to be paid attention to during optimization. The following tools were used: AnyLogic modeling software environment, Java object- oriented programming language.

Сontainer transportation is in high demand from manufacturers of container-ready goods and freight forwarders in modern conditions. This is primarily due to the fact that potential shippers have clear information about the frequency of container transportation in their chosen direction, as well as the cost of transportation for the coming weeks and even months. This information allows them to plan the production volume of goods that will be transported to the destination region. The article provides an assessment of the volume of container traffic for the 12 months of 2023 and 2024, reveals the causes of the imbalance between supply and demand for fitting platforms and containers at certain intervals on the Russian railway network, and presents the dynamics of changes in global trends of incoming and outgoing global container flows from 2018 to 2025. In conclusion, based on the specifics of container train formation over 6,000 km, the article offers recommendations for adapting to global trends in the flow of loaded and empty containers in order to minimize possible downtime of fitting platforms and containers due to the imbalance of rolling stock in the container transportation market.

The purpose of this article is to find solutions for optimizing containerized railway cargo transportation from China to the Russian Federation, given the challenges that have arisen throughout 2024. The objectives of the article include analyzing the market share of Chinese suppliers, assessing the volume of containerized railway transportation between the two countries, examining the current railway infrastructure, and developing specific solutions to reduce transit times and improve delivery predictability. The results of this article can be of practical use to Russian importers, carriers, and freight forwarders, providing insights into the current state of railway transportation and enabling them to develop their own solutions for cargo transportation.

The article presents the experience of developing and implementing a tool for monitoring resources at a large industrial enterprise — PV LLC FIRMA «TECHNOAVIA», which specializes in the production of personal protective equipment (PPE). The theoretical foundations of inventory management, including ABC/XYZ analysis, inventory classification, and modern approaches to logistics planning, are considered. The practical part includes an analysis of the current inventory management system, identification of problems related to the human factor and the formation of non-liquid assets, as well as a description of a developed Excel report that allows for the visualization of inventory statuses based on key parameters such as turnover, seasonality, and managerial responsibility.