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The purpose of the article is to assess the current state of the unmanned aerial vehicles market in the world, to review the classifications of unmanned aerial vehicles by type of construction, size, purpose, range, and to forecast trends in the development of their use in various fields of activity. Based on the analysis of the use of modern technologies for the production and transportation of goods, the author proposes to investigate the logistical possibilities of using unmanned aerial vehicles (hereinafter – UAVs) as delivery vehicles, including their technical and technological capabilities in the analysis. Based on the study of the drone market, taking into account the existing limitations and prospects for the development of the UAV market, the authors of the article aim to develop technological recommendations to ensure promptness in time, efficiency in terms of cost of delivery of the required goods. The logistics component of the study involves building consistent chains of interaction between market participants of this service in time, delivery method and payment sequence, depending on the stage and status of delivery of goods. The study also aims to develop recommendations to improve the efficiency and safety of UAV delivery, and to generalize the advantages of delivering goods by drones over similar consumer actions by purchasing them themselves in a retail network or on the manufacturer's field using their own vehicles. It is also necessary to evaluate the advantages and disadvantages of delivering food products using UAVs in terms of their safety during transportation and to identify areas for further research and development to improve the safety and reliability of UAVs. Methodology. The study uses a monographic method of researching scientific knowledge based on analysis and synthesis. The use of traditional economic methods of systemic and comparative analysis made it possible to structure the objects of research according to their existing characteristics. The review of scientific publications, technical reports, patents and other sources of information allowed the authors of the article, as economists, to draw certain technical conclusions on UAVs, and on the basis of their basic conclusions, to draw conclusions regarding the safety, reliability and efficiency of using drones to provide food services to consumers. Research results. The authors propose the scientific idea of further studying the technical, technological, socio-economic components of the use of drones for further experiments and development of improved new approaches to such services. Thus, the use of a systematic, comprehensive methodological approach will allow us to obtain a comprehensive picture of the effectiveness and safety of UAVs for food delivery. Practical implications. The use of UAVs in the delivery of food and agricultural products has the potential to significantly change the logistics industry by providing fast, reliable and environmentally friendly solutions for the delivery of goods. Value/originality. Based on the study, the authors formulate conclusions and recommendations that may also be useful in developing programs and measures to counter climate challenges and aimed at sustainable development of the agro-industrial complex of Ukraine in peacetime.
The purpose of the article is to assess the current state of the unmanned aerial vehicles market in the world, to review the classifications of unmanned aerial vehicles by type of construction, size, purpose, range, and to forecast trends in the development of their use in various fields of activity. Based on the analysis of the use of modern technologies for the production and transportation of goods, the author proposes to investigate the logistical possibilities of using unmanned aerial vehicles (hereinafter – UAVs) as delivery vehicles, including their technical and technological capabilities in the analysis. Based on the study of the drone market, taking into account the existing limitations and prospects for the development of the UAV market, the authors of the article aim to develop technological recommendations to ensure promptness in time, efficiency in terms of cost of delivery of the required goods. The logistics component of the study involves building consistent chains of interaction between market participants of this service in time, delivery method and payment sequence, depending on the stage and status of delivery of goods. The study also aims to develop recommendations to improve the efficiency and safety of UAV delivery, and to generalize the advantages of delivering goods by drones over similar consumer actions by purchasing them themselves in a retail network or on the manufacturer's field using their own vehicles. It is also necessary to evaluate the advantages and disadvantages of delivering food products using UAVs in terms of their safety during transportation and to identify areas for further research and development to improve the safety and reliability of UAVs. Methodology. The study uses a monographic method of researching scientific knowledge based on analysis and synthesis. The use of traditional economic methods of systemic and comparative analysis made it possible to structure the objects of research according to their existing characteristics. The review of scientific publications, technical reports, patents and other sources of information allowed the authors of the article, as economists, to draw certain technical conclusions on UAVs, and on the basis of their basic conclusions, to draw conclusions regarding the safety, reliability and efficiency of using drones to provide food services to consumers. Research results. The authors propose the scientific idea of further studying the technical, technological, socio-economic components of the use of drones for further experiments and development of improved new approaches to such services. Thus, the use of a systematic, comprehensive methodological approach will allow us to obtain a comprehensive picture of the effectiveness and safety of UAVs for food delivery. Practical implications. The use of UAVs in the delivery of food and agricultural products has the potential to significantly change the logistics industry by providing fast, reliable and environmentally friendly solutions for the delivery of goods. Value/originality. Based on the study, the authors formulate conclusions and recommendations that may also be useful in developing programs and measures to counter climate challenges and aimed at sustainable development of the agro-industrial complex of Ukraine in peacetime.
Drone delivery in city logistics is gaining attention due to road congestion, environmental threats, etc. However, there are risks associated with using drones which can result in hazardous events, such as conflicts in the air, loss of control, and system failures. It is crucial to assess the risks involved in using different types of drones and choose the option with the lowest risk. The existence of different criteria important for this decision imposes the need to apply the multi-criteria decision-making (MCDM) method(s). This paper proposes a new hybrid model that combines the fuzzy Factor Relationship (FARE) method for obtaining the criteria weights and the Axial Distance-based Aggregated Measurement (ADAM) method for obtaining the final ranking of the alternatives. A single-rotor microdrone weighing up to 4.4 lb was chosen as the optimal solution, and after that, the most favorable are also the drones of this size (multi-rotor and fixed-wing microdrones). The establishment of a novel hybrid MCDM model, the identified risks, the set of criteria for evaluating the least risky drones, and the framework for prioritizing the drones are the main novelties and contributions of the paper.
The complexity, increasing flow number and volumes, and challenges of last-mile logistics (LML) motivate or compel companies, authorities, and the entire community to think about ways to increase efficiency, reliability, and profits, reduce costs, reduce negative environmental impacts, etc. These objectives can be met by applying Industry 4.0 (I4.0) technologies, but the key question is which one. To solve this task, this paper used an innovative method that combines the fuzzy analytic network process (fuzzy ANP) and the fuzzy axial-distance-based aggregated measurement (fuzzy ADAM) method. The first was used for determining criteria weights and the second for selecting the best variant. The best solution is e/m-marketplaces, followed by cloud-computing-supported management and control systems and blockchain. These results indicate that widely adopted and implemented technologies are suitable for last-mile logistics. Newer technologies already producing significant results have serious potential for further development in this area. The main novelties and contributions of this paper are the definition of a new methodology based on multi-criteria decision-making (MCDM) methods, as well as its application for ranking I4.0 technologies for LML.
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