Tyzhnenko L. Complex estimation models of an enterprise financial level

The research object: financial business-management process of manufacturing enterprise; the work’s purpose: economic mathematical models developing of an enterprise state complex estimation; the research methods and tools: system analysis, logic analysis, economic-mathematical simulation methods: classic multidimensional regression analysis; maximum plausibility method and Monte-Carlo simulation; comparative and deductive analysis; genetic algorithm; the theoretical and practical results: the stochastic model of complex index; the genetic algorithm realization model of enterprise financial state level improving process; iterative method solution of regression problem with multicollinearity; methodical providing of enterprise financial indexes comparative analysis with the aid of verbal numerical scales based on the Harrington scale modification; an enterprise financial state complex estimation system; an enterprise financial state generalizing indexes regression models complex based on developed methodic of stimulators and destimulators derivation; the object and the rate of implementation: developments are implemented in practical activity on the “Kharkov bearing factory”, Kharkov, and “Research and project-design institute of technological equipment facilities “VELT”, Kharkov; the implementation area manufacturing enterprises management business processes