TRANSPORT LOGISTICS IN A PANDEMIC CONDITIONS

Background. The world economy is undergoing significant changes due to difficult pandemic conditions and quarantine restrictions. Today, logistics companies need to adapt to the new operating conditions in order to overcome the consequences of the pandemic and be competitive in the market of Ukraine and the world. The aim of this scientific article is to analyze the current conditions of multimodal transportation and substantiate the necessary ways to develop transport logistics during the pandemic. Materials and methods. While writing the article the following research methods were used: the method of elementary theoretical analysis and synthesis, the method of deduction, economic and statistical methods, the method of expert evaluation, which revealed the main purpose of the article. Results. Based on the study of the main directions of the National Transport Strategy of Ukraine, the consequences of the development of transport logistics and multimodal transportation have been determined for the country’s economy. An analysis of the state of combined transport in Europe was performed and the main directions of its development were identified, which are relevant for our country. The issues of transport interoperability and its impact on transport and logistics services are considered. The development of transport logistics is directly related to the transition of the railway to a track width of 1435 mm, which will open new opportunities in international traffic and give the opportunity to reach a new level in the field of logistics. Conclusion. The development of transport logistics requires new opportunities and ways to develop this industry. With great export potential and favorable geographical location, Ukraine should integrate into the world system of multimodal transportation by expanding container transportation, which will lead to the development of transport logistics. Today, multimodal transportation has all the necessary legislative documents and support from the state, but obstacles to their development at the international level require significant capital investment.

Structural Analysis and Specific Features of Logistics Lexemes

In this research paper, we aimed to analyze the basic methods of lexeme generation in the English transport logistics term system. That is the main task to identify the basic models of one-component and multi-component lexemes of the studied term system and to give a clear scientific conclusion about the effective method. One of the modern and rapidly evolving types of economy is logistics. The logistics approach allows increasing the performance and distribution of goods, increasing efficiency, reducing costs, and ensuring the quality of services. An integral part of the transport sector is an integral part of the entire logistics process. High-quality organization of supply chains requires continuous operation of all components of the process. Thus, transport logistics is a separate and independent field, which is inextricably linked with the rest of the industry.

Adaptive Management of Transport Logistics in Agricultural Enterprises

Agriculture is a complex logistics system with some features and limitations. The logistics system usually operates in conditions of pronounced uncertainty, characteristic random processes, so the aim of the article is to study and develop recommendations for improving the adaptability of transport logistics management in agricultural enterprises. In the article, the authors considered the specifics of logistics processes occurring in agriculture. The importance of cooperation in the development of logistics of the agro-industrial complex formed based on intersectoral cooperation of public transport enterprises, institutions, service, and infrastructure organizations, which have separate transport units, united by technological and economic ties, and use a variety of resources of the region for the formation and implementation of transport services. The financial content of cluster development as a tool of competitiveness and innovative activity of agricultural enterprises is reflected, which allows realizing the available potential to increase sales.

Application of machine learning technologies for Drone Network in logistics and port activities of Russia

Cтатья посвящена проведению исследовательского анализа особенностей практического использования беспилотных дронов и квадрокоптеров. Актуальность исследования обусловлена тем, что технологии Drone Network позволяют решить основную проблему логистики – провести оптимизацию финансовых расходов, путем сокращения затрат на реализацию цепочек поставок. Это помощь интеграции логистики, дронов и технологии машинного обучения. В рамках статьи рассмотрены теоретические аспекты понятия технологии «Drone Network». Проанализирован зарубежный опыт и международные тенденции в использовании беспилотных дронов при формировании цепочки поставок логистики морских предприятий. Рассмотрены ключевые преимущества, которые предоставляют данные технологии в совершенствовании транспортной логистики компаний. Проанализированы перспективы развития технологий Drone Network на территории Российской Федерации. Рассмотрены основные проблемы, препятствующие их практическому применению российскими компаниями. Проанализированы недостатки, с которыми сталкиваются организации в рамках использования технологий беспилотных дронов в логистике. Описаны перспективы развития технологий Drone Network в международном и российском рынке. Проанализированы перспективы применения беспилотных дронов, управляемых технологиями машинного обучения, в рамках развития портовой деятельности, внутрипортовой логистики и для поиска бедствующих кораблей. The scientific article is devoted to the research analysis of the features of the practical use of unmanned drones and frame copters in the framework of the transport logistics of goods and orders by foreign companies. The relevance of the study is due to the fact that Drone Network technologies allow solving the main problem of logistics - to optimize financial costs by reducing the cost of implementing supply chains. Perhaps this is helping the integration of logistics, drones and machine learning technology. The article discusses the theoretical aspects of the concept of the "Drone Network" technology. Analyzed foreign experience and international trends in the use of unmanned drones in the formation of the supply chain of logistics enterprises. The key advantages that these technologies provide in improving the transport logistics of companies are considered. The prospects for the development of Drone Network technologies on the territory of the Russian Federation are analyzed. The main problems that hinder their practical application by Russian companies are considered. The paper analyzes the shortcomings faced by organizations in the use of unmanned drone technologies in logistics. The prospects for the development of Drone Network technologies in the international and Russian markets are described. The prospects for the use of unmanned drones controlled by machine learning technologies in the development of port activities, intra-port logistics and for the search for distressed ships are analyzed.

Modeling of material flow management processes in the formation of transport logistics chains

The article proposes a mathematical model for optimizing the interaction of road and sea transport. The model allows to optimize the process of material flow management in the formation of transport logistics chains. The solution to this problem is especially important given the observed growth of competition between operators carrying out cargo transportation along international transport corridors. The application of the model is aimed at reducing the idle time of both vehicles waiting for unloading in the port, and reducing the idle time of ships awaiting loading of ships in ports. The relevance of using the proposed model is based on the constant growth of cargo traffic going through the ports, as well as the existing restrictions expressed in the lack of space for storing goods in anticipation of the arrival of ships in most modern ports participating in international cargo transportation, in addition, an important factor is that in most of these ports the time the passage of trucks to the port is regulated by certain hours of the day.

E-Waybill Using Experience & Development In Estonian State Road Building

Estonian Transport Administration (ETA) has since 2010y developed digital solutions for monitoring abnormal 52t transport heavy vehicles (HV). Since 2020y we signed the memorandum between 8 different parties for developing bulk material transport digital solutions (e-waybill system) for road building. The focus is to make the logistic more transparent since beginning of the loading point - for the different authorities. The second focus is to make the truck movement corridor visible for the traffic control, avoiding week roads, bridges etc. The final, and the most difficult, is to develop the mass control system, so that there is automated weight info in the e-waybill system visible for the traffic police and for building supervisors etc. We have met with our Association of Estonian Cities and Municipalities and many others, and everyone is very interested of going from paper waybills for faster, cloud based, e-waybill systems, what is also more C02 friendly. This digital e-waybill allows single data entry, and all the rest data with statistics is visible for concerned people. ETA is planning to pilot in 2021y also many road building projects with e-waybill demand. So far, the feedback has been mainly positive from different parties. We have started with our Estonian Ministry of Economic Affairs and Communications (EMEAC) also wider digitalisation projects concerning the new regulation (EU) 2020/1056 of eFTI for the gross-border transport logistics digitalisation, what must be applied in every member state 21.08.24.

APPLICATION OF THE ”WAVE“ METHOD TO SOLVE THE PROBLEMS OF OPTIMIZATION OF PASSENGER AND CARGO TRANSPORTATION IN MEGACITIES TO IMPROVE THEIR TRANSPORT NETWORK AND INFRASTRUCTURE. Conceptual basis, mathematical framework

The paper proposes a new approach to solving optimization problems arising in engineering and transport logistics in designing and construction of roads (in particular, in megacities, near large transport hubs, near state borders) for cargo and passenger transportation and implementation of international trade. The fundamental problems of modern engineering logistics - the problem of optimal location (transport hubs) and the problem of identification and segmentation of logistics, transport and logistics zones are considered. These problems are solved using methods of variational calculus, in particular, the so-called "wave" method based on the Fermat principle existing in physical optics, which is based on the analogy between finding the global extremum of the integral functional and the propagation of light in an optically heterogeneous medium. A numerical method for the above technique has been developed programatically. The idea of the "wave method/approach belongs to V.V. Bashurov, who proposed to use the methods of geometrical and physical optics to investigate applied safety problems and some related issues. The essence of the "wave method" is that initially the safety problem is reduced to the search for the global minimum of a nonlinear functional. In turn, the minimization problem is solved by constructing the trajectory of motion of the front of the "light wave" moving in an optically inhomogeneous medium. Finding the minimum of a functional is a classical problem of variational calculus, for the solution of which a significant mathematical apparatus has been developed. However, most of known methods effectively determine only local extrema. "Wave" method allows to solve the problem of finding a global extremum with greater efficiency. This paper proposes a conceptual framework and scientifically justified modification of this "wave" method for solving optimization problems arising in engineering and transport logistics, including the problem of optimal location of the transport hub, transport and logistics center (warehouse) and the problem of optimal identification and segmentation of logistical zones (metropolitan areas, large transport hubs).