Scientific Journal of KubSAU

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

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

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

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 reveals the basic concepts, purpose and classification of HRM systems used to manage the organization's staff. The analysis of the international and Russian market of HRM-systems and selected alternatives (seven information systems) of this class focused on the Russian practice of large and mediumsized businesses has been performed. The process of implementing an information system involves selecting the system that best suited to the needs of the business. For this purpose, there were developed evaluation criteria of information systems and their importance for the company. This stage of research was conducted through a survey of experts from among the University staff and practitioners. As a result, we have obtained the matrix of evaluations of alternative information systems of HRM and selected class "1C: Salary and personnel management 8". Research demos of the selected HRM system allowed developing a functional model, presented in the form of complex diagrams of cases of modeling language UML 2.0. The developed diagrams clearly reflect the allocated subsystems and their functions, as well as the relationship between the actors of the process and system functions. Summarizing the experience of implementing similar systems, we composed a smartchart showing the main stages of its implementation. The results have practical value and can be used by companies of the considered business segment as specific recommendations

Application of classical forecasting methods applied to a diversified corporation faces some certain difficulties, due to its economic nature. Unlike other businesses, diversified corporations are characterized by multidimensional arrays of data with a high degree of distortion and fragmentation of the information due to the cumulative effect of the incompleteness and distortion of accounting information from its enterprises. Under these conditions, the applied methods and tools must have high resolution and to work effectively with large databases with incomplete information, to ensure correct common comparable quantitative processing of the heterogeneous nature of the factors measured in different units. It is therefore necessary to select or develop some methods that can work with poorly formalized complex tasks. This fact substantiates the relevance of the problem of developing models, methods and tools for solving the problem of forecasting the development of diversified corporations. This article compares methods of forecasting and encourages using the ask analysis which has a good theoretical justification for the meaningful interpretation of a knowledge model based on information theory; high accuracy and independence of calculation results of the unit of measurement baseline data through the use of not the correlation matrix, as in statistical systems, and matrices of knowledge. A well-developed and available Toolkit of the ASK-analysis which is an intellectual system called "Eidos" (created by E. V. Lutsenko, 1994) allows, on the basis of fragmented, noisy source data of various nature (numeric, text) to create models of large dimension. The ASK-analysis and the system of "Eidos" have been widely and successfully used in economics, engineering, agriculture, sociology and other fields. These features of the ASK-analysis have led to the fact that it was chosen as the method of forecasting of dynamics of indicators of the corporation

To increase the validity of conclusions about the impact of the environment on the quality of life we need to move from generalities to the application of quantitative modeling techniques. This requires the joint processing environmental databases and databases depicting various aspects of quality of life. These databases are needed to be handled not just together, but in a comparable form approach, including technology and methodology, and to be implemented in one software system. For the first time in the environmental studies, it has been planned to be done with the application of the ASK-analysis and the system called "Eidos". Previously, the authors have set the goals and the objectives of the application of the ASK-analysis to study the effect of environmental factors on the quality of life of the population of the region. The article reveals the urgency of this study; the requirements for the method of conducting the study, the choice of a research method; as well as the contents of the objectives of the study. The proposed work is at the edge of mathematical ecology and mathematical modeling of quality of life (which refers to mathematical and instrumental methods of Economics), resulting from expected synergies, consists in obtaining of new knowledge in these fields that is relevant to both ecology and economy. This knowledge will make it more meaningful and justified for the application of environmental criteria and concepts in the economy. This work contains a description of the basic data sources for the study of the impact of environmental factors on various aspects of quality of life of the region's population, the source data for this study, the characteristics of the original data, substantiation of requirements to the method of research, choosing research methods appropriate to requirements; the development of steps to achieve the objectives of the study

The article presents results of developing the template architecture for an enterprise of public catering. As a prototype for the template, we have selected the restaurant called Phoenix. The development pattern of architecture was based on the typical features of public catering establishments described in the business model. The main results of the study are: generalized business model, built on the method developed by A. Osterwalder, graphical layout of business processes, implemented in the tool environment, All Fusion Process Modeler (BPWin) and developed models of decomposition of business processes, model business event, the location of the model functions, integration model, models, data architecture, class diagram, application portfolio and technology infrastructure. The architecture of a company of public catering may serve as a template for other businesses whose business model matches the business model of the research object. We have developed a tree of objectives and functions, the model of the enterprise, the data architecture, technology infrastructure and application portfolio are typical for the industry. The results of the study have practical value and can be used by the industry as at the design stage and improvement

To increase the validity of conclusions about the impact of environment on quality of life we need to move from generalities to the application of quantitative modeling techniques. This requires the joint processing environmental databases and databases depicting various aspects of quality of life. These databases need to be handled not just together, but in a comparable form approach, technology and methodology; and we need to implement them in one software system. For the first time in the environmental studies it has been planned to be done with the application of the ASK- analysis and the system called "Eidos". In this work, we set the goals and the objectives of the application of the ASK-analysis to study the effect of environmental factors on the quality of life of the population of the region. The article reveals the urgency of this study; the requirements for the method of conducting the study, the choice of research method, the contents of the objectives of the study. The proposed work is at the edge of mathematical ecology and mathematical modeling of quality of life (which refers to mathematical and instrumental methods of Economics), resulting from expected synergies, consists in obtaining of new knowledge in these fields, that is relevant to both ecology and economy. This knowledge will make it more meaningful and justified for the application of environmental criteria and concepts in the economy

The article describes the structure and the example of using automated subsystems, which can be used in telecommunication companies for the most efficient process of automation of office staff related to budget planning, which includes monitoring and planning of incomes, earned whereby customers of various branches and segments. After analyzing the business processes of the research object - groups of operational planning of the Stavropol branch, as well as the evaluation of existing approaches to solving the problem of income planning, it was concluded that it’s necessary to develop an automated subsystem. According to the instructions of the corporate center, while planning the budget, the staff must use a technique of planning and control of budget revenues, implying a partition total planned revenue for each branch income from different segments, followed by separation of each group income by services and articles, as well as a formulation of the work plans for managers who deals with large and small customers. The results can also be used to make recommendations on the formulation of individual plans for sale-managers, on further areas of cooperation with customers, the MRB and the CC based on the analysis and evaluation of divisions of the organization’s KPI