The article deals with the problem of adaptation of the Russian oil and gas company (Novatek, Russia) to the rapidly changing external environment, the avalanche of data from competitors, and the need to filter important information for business development and the prosperity of the industry as a whole. The approach is based on the system of integrated software monitoring of key business processes at the enterprise developed by the authors—from the formation of the idea of a new product to its implementation to paying customers. The scientific novelty lies in the use of an optimization model that allows for minimizing the maximum losses of the investor at all levels of decision-making, from the distribution of capital between companies, to the optimization of internal reserves to increase the competitiveness of the company. The toolkit is a minimax model that allows you to redistribute the shares of investor influence at the portfolio level, and then within the business processes of each company selected by investors, in order to achieve the optimal solution in accordance with the selected estimated indicators. Application of the well-known portfolio investment models of Markowitz, Tobin, Sharp, etc. is not possible due to the lack of necessary data on the basis of which the probabilistic parameters involved in the model are estimated. Even if we get them, it is necessary to take into account the level of correlation influence of the technological process in the composition of each subsystem, which is unacceptable for the data used, as it leads to a strong increase in errors. Using minimax and a systematic approach allows you to minimize such errors by choosing a balanced concentration of distributed assets for both the investor and the buyer. To this end, a three-way analysis of the company’s development was carried out and a technology for comprehensive improvement of the company’s activities was developed in the following areas: the company’s rating in the industry, financial condition, and interaction with counterparties using merchandising technologies. Tools for optimal image zoning at the Novatek site using the minimax approximation criterion have been developed. The technology provides a procedure for creating a comfortable mode of image perception based on high-tech visualization of merchandising, zoning of the screen area, and a mathematical approach that allows you to develop a calculation algorithm.

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Volume 2, number 2, 2014 www.pharmacoeconom.com 336. The figure 1 illustrates the dynamics of publications for each year. According to the graph illustrated on the Figure 1, up to 2000 the annual number of publications didn't exceed 4, whereas in 2000 an abrupt increase was registered and the total average number of publications became 20-30 per year. Since 2006 the necessity of pharmacoeconomic studies has been legally adopted by the document of the RF Ministry of Healthcare and Social Development-the Decree № 96 of February 15, 2006 dedicated to the issues in regards to the formation of medicine lists in the scopes of programs of providing additional and free of charge medical care to the certain categories of citizens.According to the annex of the Decree, there's a regulative procedure of forming the list of preferential medicaments, as well as there's a package of necessary documents applied for the justification in the process of including new medicines in the lists. The description of results of pharmacoeconomic analysis is among the mentioned documents. The revised Regulation on the procedure of drafting the list of vital and essential medicaments was enshrined in the Decree (of May 27, 2009, N276н)of the RF Ministry of Health care and Social Development "On the procedure of drafting the list of vital and essential medicines" and contained the necessity of providing the results of pharmacoeconomic analysis, including the "cost-effectiveness" analysis. There was some decline in the number of publications in 2012, which can be explained bythe untimely receipt of sources in the Central scientific medical library and their late inclusion into the electronic database. Further we have analyzed the structure of publications released and included in the electronic database of the Central Scientific Medical Library from 2007 to 2012. The results of the analysis are illustrated on the Figure 2. Summary: Pharmacoeconomic analysis is a flexible tool for the decision-making on different levels in the healthcare system: from the individual patient level to the regional and federal levels. The actuality of such an analysis becomes more and more apparent in the healthcare marked by the annual increase in the implemented and published studies in this area. However, such an increase in evaluations doesn't guarantee the proportional growth in terms of their quality and complexity. This article focuses on the opportunities of pharmacoeconomic researches, as well as on the usual inaccuracies in the pharmacoeconomic studies in Russia.

A model has been developed for the optimization of the share structure of an investment portfolio in high-tech projects supported by the leaders of the leading industry companies in Russia. Several indicators (financial leverage, integrated rating of companies, industry rating) were applied in the decision support system for the shared distribution of investments. High-tech production is based on innovative technologies for saving resources, the resiliency of systems for transporting and transferring raw materials and finished products within Russia, so the main income will remain within the country. It is possible to export high-tech products, rather than raw materials, which will increase export revenues. Investors will invest in high-tech projects of Russian companies, taking into account the targeting of investment development. The guarantee is the stable financial position of the companies and the competitiveness rating. Methods: The authors propose a new approach that does not contradict modern rating scales, based on a hierarchical rating procedure and fuzzy logical rules that allow you to build an integral rating in the form of portfolio shares from the whole. A higher share shows an indicator of the higher investment attractiveness of companies. The industry rating is obtained based on the principle of the company’s first affiliation to the highest rating indicator. The final minimax portfolio is based on the initial ratings in a circular convolution and is then adjusted by industry. A software package has been compiled that allows the testing of the method of capital allocation between investment projects for the largest companies’ leaders of high-tech industries in Russia. This software uses the author’s method of multi-stage analysis, the evaluation of financial coefficients, the integral ranking and the correction of the solution taking into account the industry attributes. Results: The results are presented with computer-aided design (CAD) in the form of an algorithmized decision support system (DSS). The CAD system is based on a hierarchical algorithm, based on the use of a multi-level redistribution of investment shares of high-tech companies, taking into account the adaptation to the requirements of the return on investment portfolio. When compiling the portfolio, the minimax optimality criterion is applied, which allows the stabilization of the risk by purposefully redistributing funds between the companies involved in the analysis. The authors of the article have compiled an algorithm for the software implementation of the model. Features of the rating approach: the use of the author’s mathematical apparatus, which includes a hierarchical analysis of the ranked indicators of the financial and economic activity of companies, taking into account their priority, and the use of a minimax approach to obtain a rating assessment of companies, taking into account the industry attributes. Development: The proposed approach should be used for targeted financing of large industry companies engaged in the implementation of high-tech projects.

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