Scientific Journal of KubSAU

In this article, in accordance with the methodology of the Automated system-cognitive analysis (ASCanalysis), we examine the implementation of the 1st and 2nd stages of ASC-analysis: cognitive structuring and formalization of the subject area. At the stage of cognitive structurization of subject area, researchers decide what to consider as the object of modeling, the factors affecting it and the results of their actions. In accordance with the results of the cognitive structurization, we prepare the initial database for the study (training sample or case-based reasoning). At the stage of formalization of the subject area, the base of the original data is being normalized, i.e., we develop classification and description: the scale and graduations and with their use the base of the source data is being encoded. The result is a database of events (eventological database) and the training sample. The stage of cognitive structuring and preparation of the source data is not formalized and the formalization of the subject area is fully automated and performed directly with the use of the universal cognitive analytical system named "Eidos", which is a software Toolkit for ASC-analysis. Stages of cognitive structurization and formalization of the subject area of ASC-analysis are the first steps of data conversion into information and into knowledge. Subsequent steps: the synthesis and verification of system-cognitive model, the decision of problems of identification, forecasting and decision making, as well as studies of the modeled object by studying its model will be considered in future articles

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 basic principles and the results of modeling the business architecture of the company on the example of the subsystem sales of integrated corporate structures. As the object of investigation we have chosen the company called Dinskoy Meatprocessing complex, which is part of Southern diversified Corporation. The main artifacts of the conducted research are: graphical layout of business processes of a subsystem of the sales made in the instrumental environment of All Fusion Process Modeler (BPWin) and developed a model of decomposition of business processes, a model of business event, a model for the location of functions and integration model, and to evaluate the relationship between the business processes with the strategic direction of the organization. The source data for the study were collected by conducting a special survey of the organization within which the surveys were conducted, and interviewing of managers and employees of relevant structures of the research object, the study of local normative documents, regulations on departments, job descriptions, etc. The resulting set of artifacts of business architecture can be used further in the process of re-engineering business processes, developing indicators for the effectiveness functions, business processes, organization, and development of requirements for the application systems that automate the processing of data and development of subsequent domains of enterprise architecture

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 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 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

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

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 models that quantify the investment efficiency of horizontal and technologically (vertically) integrated systems, as well as agro-industrial group that include both the technological verticals of recycling enterprises and the horizontal integration of agribusinesses companies are presented

In the article, we proposed the fundamental mathematical support of the state investment management of the agricultural production at the regional level, the content of which is determined by the next run of the development: the structure of the investment mechanism of farm management, hierarchy and relationship models and stages of the investment management of agricultural production; models preliminary comparative evaluation of agricultural enterprises - participants of the investment process, models and algorithms investment and resource optimization of the industrial structure of agricultural enterprises; models final selection of participants implementation of public investment programs and the distribution of funds