name
Zelenkov Gennady Anatolievich
Scholastic degree
•
Academic rank
associated professor
Honorary rank
—
Organization, job position
• Admiral Ushakov State Maritime University
заведующий кафедрой Системный анализ и управление процессами на водном транспорте
Research interests
Математическое моделирование, теория устойчивости, системный анализ, математический анализ, комплексный анализ, теория функций, компьютерное моделирование, теория алгоритмов, робастная устойчивость
Web site url
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Current rating (overall rating of articles)
0
TOP5 co-authors
Articles count: 1
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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MANAGEMENT OF THE FINANCIAL AND THE ECONOMIC STATE OF A COMPANY USING A MATHEMATICAL MODEL
01.00.00 Physical-mathematical sciences
Description
This article focuses on the mathematical modeling of evaluation of financial and economic activities of a company and on definition (based on this model) of such balance settings (line F1 and F2) which would make financial-economic indicators of the activities of the organization optimal, and the total cumulative score was the maximum. The knowledge and the use of the optimal parameters of the balance will allow the managers to plan strategy for the future development of the company. The article analyzes the dependencies of each of the 15 basic indicators (profitability, turnover, financial stability, liquidity and solvency) of financial and economic activity of the organization on the balance parameters. The optimal values of the parameters of the balance and the main indicators of financial and economic activities of the organization have been found. We have also built a mathematical model of optimal control of financial and economic indicators in the form of a problem of mathematical programming. For example, for the company called "Nika" it is shown the possibility of improving estimation of financial and economic condition of the organization. Knowledge of the optimal parameters of the balance will allow the managers to plan strategy for the future development of the organization. To solve this problem we have used the method of generalized reduced gradient implemented in Excel, with which there was found a maximum of the objective function for the article restrictions. The article describes the analysis algorithm of the optimization problem. A common assessment was carried out in stages, based on the calculation algorithm of sequentially improved target functions
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doc 368.599kb