Scientific Journal of KubSAU

This article describes the opportunities and prospects for the deployment of decision support system for the adequacy of the level of lending to small agricultural enterprises in the cloud environment. It reveals the shortcomings in the existing automation of small businesses, and therefore the necessity of developing a system to enable managers to quickly and correctly calculate the amount of required loan funds. The developed system has the ability to work remotely due to the lack of binding the user to a specific personal computer. It is implemented through the development of a DSS using cloud computing, in which computer resources are provided to the Internet users in the form of "online service". The article describes the architecture of popular models and cloud Webapplications; after that, it was concluded to use the Saas model with Multi-Tenant-mode support in the model development. The study provides an overview of the DSS functioning in the cloud. It has noted the main features of the software implementation of the system relating to the use of cloud technologies. We have calculated the cost of placing an application in the cloud via the online cost calculator called Microsoft Azure. We have also performed a preliminary assessment of the payback period of the project implementation of DSS. It is concluded, that this technology would be competitive at the software market

In the article we present the analysis of the market of public catering of the Russian Federation, the Krasnodar region. The role of public catering organizations in the total volume of activity of Krasnodar Krajpotreb-sojuz and the terms of socio-economic development of the Krasnodar region has been shown? As well as the modeling of business processes of public catering organizations. We have also revealed shortcomings in the organization of business processes and suggested ways of further studying of identified deficiencies

The article presents the results of the economic-mathematical modeling of the processes of evaluating the effectiveness of agricultural lending to small enterprises. It also describes the structure and the composition of the complex models and the numerical methods designed for this purpose

In this article, in accordance with the methodology of SC analysis, we consider particular implementation stages of the synthesis of the numerical model and its analysis. We have also presented the results of the determination of the different states of the processing complex function of various factors on these states and their classification, as well as semantic networks and cognitive class diagrams and factors. On the basis of the analysis we made specific findings and recommendations for decision making at the management level of the region. After execution of the stages of cognitive structuring and formalization of the subject area the further stages of automated SC analysis have been accomplished, the first of which is the phase of the input database of precedents. All these steps are performed directly using "Eidos" universal cognitive analytical system

The article suggests a mathematical model of optimization of the volume of material flows: the model for the ideal conditions; the model for the working conditions; generalized model of determining the optimal input parameters. These models optimize such parameters of inventory management in technology-integrated grain production systems, as the number of cycles supply, the volume of the source material and financial flows. The study was carried out on the example of the integrated system of production, processing and sales of wheat (bread) with the full technological cycle

The article describes the fuzzy-multiple approach and the block of fuzzy (interval) mathematical models developed by the authors for calculating the amounts of material and financial flows, prices for bread and economic efficiency in a technologically integrated bread production system

The article presents the results of further research of a streaming scheme of interaction between agricultural (AGC) and processing (PP) agricultural enterprises. Mathematical models were developed and the results were shown for a quantitative comparative evaluation of the efficiencies of the combined company (AGC + PP) and processing (PP) agricultural companies

In this article we have presented the results of the research of submission and evaluation of organizational structures of control systems based on the theory of mass service

This article presents the results of research of stream-ing scheme of interaction between agricultural (AGC) and processing (PP) agricultural enterprises which were developed by the authors of the mathematical model for calculation of economic efficiency of AGC circuits and PP, as well as for the calculation of economic efficiency of the companies in case of their association

The processing complex of a region is considered as a multi-level hierarchical active reflective system, which is the object of intellectual control. The economic stability of the regional processing complex is considered as one of the most important because of its characteristics, as they considerably affect the quantitative and the qualitative results of the work. The system-cognitive approach to the construction and verification of the system of intellectual models of processing of the regional complex is implemented. We have selected the most adequate model of the processing complex of the region, in which we explore the issues of management of its economic stability