Iryna Borets

The article considers the issue of increasing the efficiency of search and rescue operations management at sea by applying the provisions of the queuing theory. A mathematical model of decision support in the system of coordination of rescue units is proposed, which takes into account the stochastic nature of the receipt of applications and the limited bandwidth of service channels. Examples of calculations of the system functioning efficiency indicators are given, which confirm the feasibility of using intelligent decision support technologies (IQ technologies) to increase the efficiency of the response of search and rescue services. The practical significance of the use of mathematical modeling for reducing the time of information processing, making management decisions and transmitting commands to executors in difficult sea conditions is substantiated.

Modern market requirements for transportation of cargo flows according to the «quality, speed, and cost» criteria were studied. It was found that multimodal routes have the lowest delivery time, high reliability, and minimum transit time, which provides a more accurate level of control of costs, traffic schedules, and transport safety. It was determined that the effectiveness of multimodal transportation schemes depends on a degree of realization of resource capabilities and management technologies of a multimodal transport operator (MTO). The functional features and the MTO classification were generalized, which makes it possible to generate the MTO business model as a responsible integrator of transport and logistic processes, rather than consider it only from the point of view of the organizer of mixed transportation schemes. The technology of the organizational transportation process was systematized, based on which a system of strategic goals and key performance indicators (KPI) was developed, which makes it possible to determine the «bottlenecks» according to the main business processes of a multimodal transportation operator. The modified multifactor DuPont model was proposed, which makes it possible to establish the priority of factor evaluation of more time-stable indicators based on determining the levers of the MTO resource efficiency with greater coverage of factors. The performed research can become the basis for further development of the multimodal cargo transportation system based on the development of the model for optimal management of the MTO business processes.

Studies of the transport and technological process of growing crops revealed that it is a complex dynamic system. It is proved that the complexity of this system consists in the presence of a large number of heterogeneous subsystems, including transport, which is an important component for growing crops. Due to the system approach to the study of transport support of the crop growing process, it became possible to identify functional features of using ground and aviation vehicles. The properties of each stage of the growing process and involvement of certain types of vehicles are determined. The scheme of transport support of the crop growing process is developed and the influence of the aviation component at certain stages in the introduction of resource-saving No-till technology is determined. Experimental studies showed that the use of aviation transport contributes to the introduction of resource-saving No-till technology by minimizing the mechanical processing of sown areas, which reduces the anthropogenic load on the soil. The developed mathematical model for analyzing the use of the transport and production complex in growing crops allows making a rational choice of ground and aviation vehicles, depending on the parameters of technologies, types of crops.Thus, there is reason to argue that it is possible to make timely and reasonable management decisions in the organization and management of agricultural production in order to maximize profits

The ways to find the ways of solving the problem of optimal service for unmanned aerial vehicles in the conditions of vehicle shortage are explored. In the study of theory of optimal control and discrete optimization insufficiently explored the problem of optimal graph coverage by the chains of a fixed pattern with the help of a description system of ordinary differential equations. With the help of the graph theory investigated the optimization problem of the «Upper Cover» for unmanned aerial vehicles service in the conditions of vehicle shortage has been solved. Study of the problem relates to the mathematical dependence of transport systems. It can be used for determination of the optimal ratio between the amount of Unmanned Aerial Vehicles and fuel (electricity) reserves used by the Unmanned Aerial Vehicles. The method of solving the problem of determining the weight of the arcs of the graph and the problem of constructing a chain is based on that dependence. Part of the problem is the task of docking. The combinatorial task of choosing a set of stations for servicing points of the initial unmanned aerial vehicles dislocation is based on the dependence mentioned. Effective method for solving the problem of optimal coverage of a graph for supply chains with constraints is developed on the bases of the dependence. The proposed research methods can significantly reduce the cost of delivery of urgent goods using unmanned aerial vehicles. The proposed research methods can significantly reduce the cost of delivery of urgent goods using unmanned aerial vehicles. Perspective of further researches is studying of mathematical model of optimal servicing the delivery areas in the conditions of the lack of UAV. The constraints for practical purposes must have a group-theoretical approach to solving optimization problems and be reduced for the constructing an optimal cost matrix analysis. Algebraic approach is used, when there is a need in solving a large set of similar types of optimization problems with different constraints in the right hand side only. It is possible to apply a heuristic algorithm for solving the problem of optimal UAV service. The problem means optimal coverage of a special graph with chains with restriction on the chain length

The article is devoted to the development of methods infolohichnoho modeling and simulation polierhatychnoho documentary describing the test bearing properties nanomaterials that determine the endurance and technological resources mixtures structural components pavement layers in terms the variety effects to cover non-stationary environment and traffic. Formalized mathematical description models and methods necessary for the system CM-PD as hardware and software testing technology polierhatychnoho structure formation nanomaterials under technical and technological orders endurance performance evaluation and resource material layers work surfaces for safe movement traffic forecasting. The peculiarities the modes interaction and the language simulation ergatic modeling for the search rational technologies creation road materials are substantiated. The proposed analytical tools aimed at forming the structure silicon-carbon polymers and composites with expected force-moment and mass-energy physicochemical properties to counteract the effects heterogeneous factors non-stationary environment. The method infological modeling processes for providing conditions for the purposeful between atomic and molecular interactions in the limited local spatial volumes is developed. Formalized parametrization of mutual functions distribution concentrations, pressure and temperatures, which jointly accelerates the stage thermodynamic self-organization and controlledly form the domain-granular structures substances artificial structural materials (SCM) road cover. The information analytical tools the KM-PD system provide the reliability the estimates endurance interval, mechanical strength, integrated resource, obtained by the methods simulation the MSC and in general, KSSSDO. Mixtures substances withstand similar effects from environmental factors and respond equally to microphase spatial separation compatible component components. The maximum levels energy efficiency ordered load bearing coverings are the achievement for the operation the transport and road complex with non-stationary flows moving objects on the surfaces the future ITS infrastructure provided by the agreed levels multiple heterogeneous interactions. KEY WORDS: THERMODYNAMIC SYNTHESIS, FORMATION OF NANOSTRUCTURES, DOCUMENTARIES DECISION, INFORMATION TECHNOLOGY, INFOLOHICHNE MODELING, CARRYING LAYERS TRANSPORT INTERACTION CRITERION SIMILARITY SECURITY RESOURCE SPACE SELF-ORGANIZATION.