Scientific Journal of KubSAU

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 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

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

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

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 describes the synthesis and verification of statistical and system-cognitive models of the influence of environmental factors on the quality of life of the population of the region. This stage of the ASC-analysis is performed in the system called "Eidos". As a result, we have created and validated (verification stage) all the specified systemic cognitive models. It is expected that reliability for the models of knowledge is sufficiently high for a given subject area, that is why we can state the discovery of a dependence of life expectancy and causes of death from environmental conditions. Typically, knowledge models are approximately 20% higher in accuracy than statistical models, which operate on the principle of positive pseudo-prediction. Making decisions based on the model of Abs (matrix of absolute frequencies) is not appropriate because of the different number of instances of classes (generalized categories) and dependence of the solutions of this amount. In the model called Prc2 (conditional and unconditional percentage distribution) the dependence of the model values of the number of examples in classes has been removed, but the accuracy of it is usually same low as in the Abs. In addition, for decision-making based on this model, one has to compare the values of conditional and unconditional probabilities manually, which is laborious and hardly possible for large dimensional models. The knowledge model called Inf3, based on a measure similar to the Chi-square, is the result of the automated comparison of values of conditional and unconditional probabilities presented in the model of Prc1, which is similar to Prc2, and usually has a fairly high accuracy, especially considering the high complexity of the subject area, which we simulated. Therefore, in accordance with the technology of the ASC-analysis data conversion into information, and afterwards - into knowledge, it is the model of Inf3 which is planned to be used for the solution of problems of identification, forecasting, decision-making and exploring the modeled subject area, through the study of its models

To develop detailed and effective business model of bakery enterprises of consumer cooperation it is necessary to have knowledge on strategic goods displayed on a busy segment of the market, not only in volumetric terms, but in the parameters that characterize the stability of sales or consumption. The particular relevance of this study reveals in modern conditions of functioning. The outcome of the baking enterprises of consumer cooperatives is more than 760 tons per day, distributed between 41 baking enterprise producing more than 300 kinds of products. Of course, the information on quantitative and qualitative characteristics of the strategic positions of the range will be a key in making managerial decisions about the production of the program, resourcing, turnover, etc. To solve the problem we have chosen the method of ABC - and XYZ-analysis of assortment of production, based on the criteria of ease of use and breadth of the resulting information. As a result of the application of the methods of ABC and XYZ-analysis and combining the obtained results, we present a classification of the range of the baking enterprises of consumer cooperation product based on the criteria of the contribution of commodity positions in revenue and stability of sales

The article presents the architecture of decision support system for the adequacy of the level of lending to small agricultural companies, which implements in its functionality the complex of models: the optimization of selling price of products, the efficiency mark for using of credit funds of single-product and multi-product companies by determined and fuzzy methods, assessment of the system stability of the enterprise. The system has the ability to work remotely using cloud computing, in which computing resources provided by the Internet users in the form of "online service". The article substantiates the need for the development of decision support systems for the adequacy of the level of lending to small agricultural enterprises. We have compiled requirements for the development of an appropriate system and identified a set of models to be implemented in the DSS , described the relationship between them and the technique of working with them. We have also defined names of the input and output data at various stages of working with the DSS as well as the generalized algorithm of the system. Based on the above, the article proposes and describes the architecture of decision support system. It is concluded, that the DSS is an interactive automated system that uses a model of decision-making, providing users with efficient access to data and provides them with a variety of opportunities to display information

The article presents the basic concepts, classification of SCM systems and the field of application of this management technology. The analysis of the international and Russian market SCM-systems, allowed us to choose the five most popular alternative information systems of this class. For the procedure of selection of the information system have been developed criteria, oriented to the demands of corporate integrated structures. For each criterion there was determined a value coefficient. This stage of research was carried out with the involvement of heads of corporate integrated structures, experts in the field of it and scientists of Kuban state agrarian University. As a result of the assessment, we have chosen an information system called "SAP SCM EWM" with the highest number of points. The study of the functional information system was carried out by building a complex chart of precedents (the modeling language UML, tool Microsoft Visual Studio 2012). Generalization of experience of consulting and analytical companies allowed to allocate the main stages of implementation for SCM systems and to develop recommendations for their implementation. The study has practical value for the integrated corporate structures from the standpoint of managerial decision-making of choosing an information system of type SCM and introducing it into their operations

In the article we present a spatial structure of largescale transport systems. The model of a transport network can be presented in the form of a graph, with a set of the nodes corresponding to elements of a network and a set of edges – to sections of roads the connecting these nodes. As the model of a card of roads, it is offered to use prefractal graphs which naturally reflect structure of communications when reviewing a transport network in different scales (the states, regions, areas). Prefractal graphs allow describing structural dynamics of the studied system in the discrete time. One of the most widespread scenarios of structural dynamics is the growth of structure. The statement of tasks of the organization of transport routes contains requirements criteria to finding of optimal solutions. Often these requirements and criteria are contradicting each other. It leads to appearance of a multicriteria problem definition. The multicriteria problem definition on a class of prefractal graphs is considered. The optimum algorithm of separation of the greatest maximum paths by the given criterion is constructed and estimates by remaining criteria are given. In operation computing complexity of the constructed algorithm of separation of the greatest maximum paths on a prefractal graph is calculated and advantage of operation of algorithm on last before algorithm of separation of the greatest maximum paths on normal graphs is justified. The constructed algorithm on prefractal graphs has polynomial complexity