PhD in technical Sciences Akhiezer Elena,

PhD in technical Sciences Dunaievska Olga,

PhD.in Economics Mekhovich Sergey,

Heliarovska Oksana

National Technical University

"Kharkiv Polytechnic Institute", Ukraine

SIMULATION OF THE FORMATION OF INNOVATIVE ENGINEERING INDUSTRY CLUSTER

In modern processes of transformational changes of the regional economy the cluster approach began to be actively apply. This is due to the need to update and improve the effectiveness of the instruments of regional policy in the financial crisis and the budget deficit to support regional enterprises to improve their competitiveness. Along with this, the most progressive regions based on the analysis of successful international experience realized that the use of the cluster approach is one of the most effective tools in the implementation of the tasks of modernization of enterprises and development of innovative sectors of the economy.

The results of a 2006 study of innovation systems (Regional Innovation Scoreboard) in Europe have shown a positive relationship between the innovation development of the region and the presence of successful clusters [1]. In this regard, increasing interest in the problem of cluster formation and analysis of their impact on innovation activity of enterprises.

In order to improve cross-sectoral regional institution was formed a new model of the innovation - engineering industry cluster.

The model is an integrated regional system, which operates such market institutions as technology platforms, reengineering technology, engineering, technology audit, innovative environment, etc.

Socio-economic objects, as a rule, are very complex, since their formation is usually due to the action of a variety of different features. In the study of such objects multiparameter always raises the question: is it possible to exclude from the analysis of the signs that have a negligible impact on the effective rate, or replace them with a smaller number of any factor without compromising effect on the final result? [2, 3].

To this end, the first stage of the formation of innovation - engineering industrial cluster is encouraged to use the class methods of factor analysis as a method of reducing the number of variables and their generalizations. As a result, the initial signs of influencing the formation of innovation - engineering industrial cluster will be reduced in the factors.

Accounting reduced factors to determine the potential for the formation of innovation - engineering industrial cluster in a given territory.

The second stage is directly applied for cluster analysis factors generated in the previous step. Since the construction of the cluster is clearly associated with a particular territory and subject to the laws of regional development and business location, it has also been added to the factor of geographical location, as a key factor today, affects the formation of the innovation - engineering industry cluster [4].

On the basis of a dedicated system features an algorithm cluster zoning of the region (Pic. 1)

Pic.1. The algorithm for generating innovative - engineering industrial cluster.

Regional innovation and engineering industry cluster is a new entity, whose main task is to provide organizational and economic conditions of modernization of industrial enterprises in order to build an export-oriented economy.

Cluster, built according to the proposed algorithm differs from its current focus on the development of regional inter-sectoral linkages of industrial enterprises, which belong to different business formations and carry out economic activities in the territory of the cluster, provides technological reengineering and disseminates innovation in enterprises in the region.

References:

1. Cramer, Mathematical Methods of Statistics. - M .: Mir, 1975. - 648 p.

2. Yerina AM Statistical modeling and forecasting: Training. User. - By: MBK, 2001. - 170 p.

3. Chebotarev SV Theory and practice of static and dynamic economic factor analysis / SV Chebotarev // Control Systems and Information Technology: Intercollegiate Sat scientific. works. -Voronezh: Central Black Earth Book Publishing House, 2001. - P. 68-73.

4. Nasledov AD SPSS 19. Professional statistical analysis. SPb .: "Peter", 2011 - 399 p.