Keyword: «optimization»

Nowadays many economies of the world suffer from residual crisis phenomena. Moreover, many economists consider that there will be the new wave of crisis, so a manager should improve the quality of the financial management in order to be prepared for it. To avoid the decline of profitability and liquidity as well as failure to earn potential revenues, the company needs to balance its cash flows.

The task of procurement management is key in the management of business enterprises of trade. Even small businesses that have a wide range of products, it is necessary to implement automated procurement management system. This raises the question of the effectiveness of applied information technology pro-curement management, which is determined, first of all, the quality of the brainware. The quality of the ap-plied mathematical apparatus, depends on the effectiveness and cost of software procurement manage-ment system. The paper presents the basic model of inventory management, made a brief comparative analysis of the models and optimization techniques, and methods of statistical analysis and sales forecast-ing.

The paper deals with the problem of inventory management in trade business, taking into account their significant impact on financial indicators and competitiveness of the enterprise. The criterion of inventory management optimality is offered, as well as the economic and mathematical model of inventory level optimization based on financial indicators of the enterprise.

This paper deals with the modernized approach to improving the educational system at an economical university. The main issues of solving the problem of educational process optimization are considered.

One of the major disadvantages in anodizing of aluminum parts is increasing the roughness of the working surface. This disadvantage limits the use of the technique. It is imperative that the analysis of the technological process for the preparation of an anode for the coating to be sought to resolve this problem. In this work a regression analysis and optimization are defined: the adequacy of the model, the regression equations, the degree of influence of the different input factors on the output parameters. The optimal values of input factors are determined.