Scientific Journal of KubSAU

Polythematic online scientific journal
of Kuban State Agrarian University
ISSN 1990-4665
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Name

Baranovskaya Tatyana Petrovna

Scholastic degree


Academic rank

professor

Honorary rank

Organization, job position

Kuban State Agrarian University
   

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Email

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Articles count: 65

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332 kb

THE STUDY OF SCM SYSTEMS: MARKET ANALYSIS, SELECTION AND IMPLEMENTATION OF CORPORATE INTEGRATED STRUCTURES

abstract 1161602080 issue 116 pp. 1273 – 1292 29.02.2016 ru 940
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
1673 kb

THE SYNTHESIS OF SYSTEMIC-COGNITIVE MODELS OF THE INFLUENCE OF ENVIRONMENTAL FACTORS ON THE QUALITY OF LIFE OF THE REGION

abstract 1341710001 issue 134 pp. 1 – 13 29.12.2017 ru 1031
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
1851 kb

TREE OF THE PURPOSES AND FUNCTIONS OF MANAGEMENT SYSTEM OF DIVERSIFIED CORPORATION AND ITS COGNITIVE ANALYSIS

abstract 0721108046 issue 72 pp. 535 – 549 30.10.2011 ru 2100
This article reveals the outcomes of decomposition of management system of southern diversified corporation (UMK) by building-up of a tree of the purposes and functions of system and carrying out its cognitive analysis
113 kb

USING SYSTEM-COGNITIVE ANALYSIS FOR ESTIMATION OF THE DEVELOPMENT OF A DIVERSIFIED CORPORATION

abstract 1321708001 issue 132 pp. 1 – 7 31.10.2017 ru 408
A diversified corporation is a highly complex multivariable dynamic system. The application of classical forecasting methods applied to such objects has encountered a number of difficulties, due to its economic nature. In the article, we substantiate the requirements to the forecasting method; on the basis of these requirements we can select the method and its software tool
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