Automation and digitisation are the driving force of the Industrial Revolution 4.0. Industrial revolutions led to the mass production of goods, which increased the need for modern warehouses. Every year, the operation of warehouses becomes increasingly more complicated due to the increasing abundance of goods, thus the usual warehouse management strategies are no longer suitable. In order to cope with huge product flows, modern innovations should be used more extensively to manage these processes. Successful management will help provide quality service to rapidly changing business sectors. The Internet of Things (IoT) is a technology designed to process large amounts of data with maximum efficiency in real time. This technology can facilitate the implementation of smart identification, tracking, tracing, and management using radio frequency identification (RFID), infrared sensors, global positioning systems (GPS), laser scanners, and other detection tools. Such innovations as IoT have made a significant impact on warehousing operations. The aim of IoT is to perform administrative work, i.e., to efficiently manage warehouse data. IoT can be used to monitor and track goods, forecast demand trends, manage inventory, and perform other warehouse operations in real time. The key elements of a warehouse are sales and customer satisfaction. Implementing IoT improves financial performance, work productivity, and customer satisfaction. However, innovation requires additional investment in, for instance, implementation and maintenance. It is necessary to investigate how warehouse elements such as inventory accuracy or order processing time are affected by the internet of things in companies of different sizes. Research on the impact of IoT on warehouse management focuses on IoT advantages, disadvantages, mitigation risks, and the use of IoT in warehouses. The aim of this work is to research the impact of IoT on warehouse management in companies of different sizes and to determine whether the costs and benefits of IoT differ in the same scenario. As a result, the conceptual model for the adoption of IoT measures in warehouse companies was created, and its suitability was assessed by experts.

Ports are an important part of the global and regional freight supply chain and transport network. Background: as port activities have a significant impact on the economic growth of these countries, it is necessary to constantly analyse and plan port activities, anticipate market changes and improve the ability of ports to withstand the growing general competitive pressure. This article analyses studies conducted by researchers on the topic of seaports, thus, and find that there are no analyses comparing more than two ports. Methods: a comparative analysis of the ports on the eastern shore of the Baltic Sea was conducted using the analysis of statistical data. Results: The Baltic Sea is surrounded by nine countries. Four countries (Lithuania, Latvia, Estonia and Russia) have different coasts and different numbers of seaports. In this article, according to the selected parameters, 10 ports on the eastern coast of the Baltic Sea are analyzed. Conclusions: The comparative analysis of ports on the eastern Baltic Sea revealed that Klaipeda port is the most diversified port in the eastern Baltic Sea region, given that it does not have any single most important type of cargo. The largest ports in terms of bulk cargo are in Tallinn, Riga and Ventspils. Primorsk is the largest port for liquid cargo and St. Petersburg handles the greatest volumes of cargo of a general type and while the distribution of cargo flows in the port of Visotsk is best correlated with the selected parameters, which allows us to state that the infrastructure of this port is used to the maximum.

Today, green transport is a growing trend in terms of transport costs, CO₂ emissions and satisfaction with logistics services. Green logistics is an environmentally friendly and sustainable logistics system that encompasses activities affecting logistics functions and processes, promoting the environment and the development of a circular economy. Rail transport is considered to be one of the least polluting modes of transport, but the fact that only electrified rail represents the concept of green logistics has been underemphasised, as the fleet consisting of diesel trains is a major challenge. This article aims to investigate the implementation of green logistics in railway transport in the case of Lithuania. The scientific literature, SWOT analysis, expert evaluation and parameter correlation methods were used to achieve this goal. An analysis of the internal and external factors of Lithuanian Railways in terms of green logistics has identified the main strengths of rail transport. These are environmental friendliness, electric trains reducing CO₂ emissions, a strong focus on circular economy and others. The main weaknesses include the more extensive use of diesel trains, competition, etc. The external factors of the company show that the main opportunities are the reduction in net CO₂ emissions to zero, the acquisition of more electric locomotives and others, while the main threats include an increase in energy costs or the complexity of implementing new technologies. An analysis of these factors has led to the construction of a SWOT matrix, which shows that the company’s strategy in the field of green logistics is quite strong, with more strengths than weaknesses. The results made it possible to identify the links between the individual implementation principles of green logistics in railway transport and provide strategic guidelines for the successful integration of green logistic principles into railway transport in Lithuania.

Transport is very important for the economy and the society because good transport infrastructure helps to improve the mobility of citizens and the traffic of goods, thus ensuring economic sustainability. Background: The European Union (hereinafter—EU) plans to maintain support for the development of transport infrastructure in individual member states. Lithuania’s role as a transit country in the EU’s transport network is of great importance; therefore, efficient transport services and appropriate infrastructure can not only support the domestic market and economic and social growth of the country, but also promote positive economic, social, and political processes in other countries and ensure EU’s strategic defence movement channels. Methods: The study was conducted using econometric methods, including correlation analysis and a regression model, to assess the selected parameters of the transport sector of Lithuania as a transit country and their impact on the real gross domestic product (hereinafter—RGDP) of the selected Baltic states (Latvia and Estonia). Results: The study identified a combination of key factors in the Lithuanian transport sector that affect differences in the level of real GDP per capita. Conclusions: The findings revealed differences in the context of relation between RGDP per capita in the three Baltic states and indicators of the Lithuanian transport sector.

The problems of developing intelligent service provision systems face difficulties in the representation of dynamic aspects of cargo transportation processes and integration of different and heterogeneous ICT components to support the systems’ necessary functionality. This research aims to develop the architecture of the e-service provision system that can help in traffic management, coordination of works at trans-shipment terminals, and provide intellectual service support during intermodal transportation cycles. The objectives concern the secure application of the Internet of Things (IoT) technology and wireless sensor networks (WSNs) to monitor transport objects and context data recognition. The means for safety recognition of moving objects by integrating them with the infrastructure of IoT and WSNs are proposed. The architecture of the construction of the e-service provision system is proposed. The algorithms of identification, authentication, and safety connection of moving objects into an IoT platform are developed. The solution of application of blockchain mechanisms for the identification of stages of identification of moving objects is described by analysing ground transport. The methodology combines a multi-layered analysis of intermodal transportation with extensional mechanisms of identification of objects and methods of synchronization of interactions between various components. Adaptable e-service provision system architecture properties are validated during the experiments with NetSIM network modelling laboratory equipment and show their usability.

Dynamically changing economic conditions influence the growing demand of various freights transportation. Inevitably, the demand for heavy and oversized freight transportation is increasing, which is quite problematic. In many cases, it is very difficult to standardize the technology of heavy and oversized freight transportation. Decisions are necessary, which would allow to deliver heavy or oversized freight to the destination place, allocating fewer funds as possible for infrastructure improvements, choosing the most appropriate mode of transport for such freight transportation or using advantages of multimodal (combined) transport. In this article there will be selected methodology of heavy and oversized freight transportation system, carrying heavy and oversized freight by road transport. There will also be made an approval of this methodology, based on a hypothetical route within Lithuanian territory.