Abstract. The article deals with a modern concept of controlling at enterprises in international business, which contains clarifications of the essence of controlling as a system and detailed consideration by its types: strategic and operational controlling, improvement of their goals, tasks, principles, functions and their relationship to other functions of management. The authors of the article explain how to choose controlling tools which are to be applied at a specific enterprise and suggest a system of controlled performance indicators of an industrial enterprise. A methodical approach to controlling of the export and import activities of enterprises is provided in the article. The authors propose the ways of using the results of controlling related to export and import activities at the enterprise in order to implement business strategies and improving the information systems existing at most industrial enterprises through the creation of the structure of controlling.
The article is devoted to developing a definition of the indicator of the bank’s competitiveness which based on the theory of fuzzy sets and neural networks techniques. Uncertainties that have a place when considering and analyzing the components of evaluating the success and effectiveness of the bank have been considered and analyzed. The sequence of construction and structure for generalizing parameter of bank competitiveness are presented and grounded. Stages of obtaining an integrated assessment of bank competitiveness by sequential application of fuzzy logic and neural networks approaches are determined and described. Corresponding fuzzy terms, membership functions and fuzzy inference rules are described. Overall sequence and steps to resolve the problem are processed. The practical implementation of the summary fuzzy inference of the bank’s competitiveness is given. In particular, numerical calculations on the proposed model for Ukrainian commercial bank “Khreshchatyk” was carried out. Comparison of obtained evaluation results for the competitiveness of specified bank with available data and other scientific information sources showed their compliance with factual situation. In this way, the expediency of application fuzzy modeling has been confirmed to determine the generalized indicators of bank competitiveness. Adequacy and accuracy of the proposed model and the results of calculations were proved. The proposed approach is quite general. This or similar model can be successfully used in other tasks of building and generalized evaluation of integrated indicators for the presence of several local, individual parameters for different economic processes and tasks.
convolution of partial indicators on the computation basis of Spirman and Kendall rank coefficients, and their combination. The complexity of the mathematical model for assessing economic sustainability is achieved by taking into account both the general economic stability level of the macroeconomic system, which is calculated as a taxonomic indicator of development, and by means of an economic stability integral indicator structure.
The multidimensionality and multi-objectivity are the main characteristics of the socio-economic systems development that are considered to be the most complex study objects in modern science, including all levels of its management. The article describes the formulation of multi-objective problem of optimizing enterprise development indicators. Selection of genetic algorithm for solving multi-objective optimization problem of enterprise development indicators through the process of analysis involving disadvantages and advantages of modern methods of solving multi-objective optimization problems has been substantiated. An analytical approach is suggested to construct partial criteria in a multi-objective optimization problem in economics as stochastic dependencies of development components on indicators in the form of latent factors, that should be marked by factor analysis. These defined optimal values of development indicators are recommended to use as an information basis for the implementation of all functions of enterprise management
The article deas with the process of modeling export and import potential as a sequence of transformations of cognitive, substantive, conceptual, informational, and mathematical models. It describes these models and provides recommendations for the development of each of them. It is recommended that a cognitive model of export-import potential is defined as the combination of the subject (the ability) and the object (the possibility) of its components contributing to the ability to carry out export and import operations, an opportunity to provide them a positive balance, namely to carry out effective export and import activities for the formation and reproduction of a competitive position on domestic and foreign markets. A list of the main analytical tasks of determining the export and import potential was proposed in this paper. It was given real-world multiobjective optimization model for finding optimal values of indicators of export-import potential of the enterprise.
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