Scientific Journal of KubSAU

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

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

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

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