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Bucenko Elena V.

Degree	Cand.Sci.(Econ.), Associate Professor, Department of Business Informatics, Ural State University of Economics
E-mail	evl@usue.ru
Location	Ekaterinburg, Russia
Articles	A program complex for investment designing control optimization The critical issue in obtaining the effective solution of investment designing management problems is a development of an underlying computer program complex for investment designing management optimization. To solve the task research in the field of company activity economic parameters forecasting and decision making processes is needed as well as supporting economical and mathematical models elaboration. Read more... Expert system for investment designing The task of building an expert system investment planning which selects the analytical tools of the investment project and determining profitability of the project is considered. The expert system uses a method of evaluation based on the criteria that are implemented in the form of a knowledge base of facts. The knowledge base implements the ability to analyze project data entered and doesn’t require the finished project data to be presented in it. Read more... Building a network of economic-mathematical model for the implementation of the optimization process of investment projecting The article discusses actual issues in the application of automated control systems to optimize the process of investment projecting at the enterprise. Investment projecting is an important aspect of the activities of an entity in the modern economy. To solve the optimization problem of investment projecting is proposed to use a network of economic-mathematical modeling. The rationale for applying the methods of network management to optimize investment activity. Shows a gradual process of forming a network model that includes the entire sequence of complex operations, investment projecting, such as: collection of baseline data, marketing analysis, financial analysis, sensitivity analysis, building financial models, generation of alternatives, analysis and selection of the optimal project. Given the detailed description and the graphical representation of the selected processes and the resulting network model. Possibilities of application of information technologies for solving problems network modeling and implementation of adaptive control model. Automation can be done using the visual object-oriented programming in high-level languages, Delphi, C++, C#, Java, JavaScript, PHP, Perl, etc. Read more... Development of a computer expert system business planning The article discusses the problem of optimizing the implementation of the business planning process, corresponding with specific technical and economic conditions and constraints. To solve this problem, we propose to use the intellectual information decision support system that allows to optimize the formation of a specific business plan. Development and creation of such a system is based on network models and methods of economic-mathematical modeling and computer expert systems technology. The results obtained may serve as a basis for the development of appropriate systems of intellectual support management decision making in the implementation of the business planning process. Read more... Intelligent software system for optimizing adaptive control of business planning processes The article describes the functionality developed by the authors of an intelligent software system for optimizing adaptive control of business planning processes in the face of uncertainty. The results are based on a new method for optimizing adaptive project management using network economic and mathematical modeling. Based on this method, a methodology has been developed for solving the problem of optimizing adaptive control of business planning processes, which in the proposed intelligent software decision support system uses a block containing an adaptive control optimization model. As the objective function (evaluation functional) in the method used, the value of the length of the time period for the execution of the business plan, which needs to be minimized, is considered. The method used allows you to create a class of acceptable strategies for adaptive control of the implementation process for the business plan in question. Within the framework of this class of strategies, an optimal adaptive control strategy for the implementation of business planning processes is formed, the optimal time for its implementation and the optimal schedule for implementing the business plan as a whole, and the corresponding optimal adaptive control strategies are calculated. Application of the proposed new method in an intelligent software system allows for feedback and optimal time for the implementation of the business project as a whole. The developed intelligent system is designed to automate the modeling of business planning processes and optimize adaptive decision-making control during their implementation on the basis of network economic and mathematical modeling, as well as methods and tools for developing intelligent soft systems. The created system takes into account the existing specific technical and economic conditions and information support. The results obtained in this work can serve as the basis for creating intelligent instrumental systems for supporting managerial decision-making in the implementation of business planning processes in the face of information uncertainty and risks. Read more...